Search

Far from being a panacea, air-conditioning is shown to create social, environmental and economic problems. Alternatives to air-conditioning are identified as a key means of reducing energy demand and carbon emissions, improving resilience to heat, and providing a healthy indoor environment. These alternatives are more than a technological issue and help to reframe coolth as an attribute and not a commodity. This editorial introduces the themes and individual papers in this special issue. It explores the implications of these alternative solutions across a range of issues: health and wellbeing; air quality; heat stress; technical/design solutions; economics and equity; climate change; social expectations and practices; policy and regulation; supply chain and procurement; education and training. Recommendations for change involve policy and regulation, construction industry business models, redefining the design decision process, improving performance and feedback, and updating workforce skills and capabilities. [ABSTRACT FROM AUTHOR]

Effective mitigation of greenhouse gas (GHG) emissions in the buildings sector requires a full understanding of the factors influencing emissions over the life-cycle of buildings, particularly in places where large additions to the building stock are expected. Currently, little is known about what affects the GHG emissions of buildings located in warmer climates, a typical situation for many emerging economies. This paper presents a study of emissions from Brazilian office buildings using building archetypes. A sensitivity analysis explores possible parameter ranges, various contributions to life-cycle impacts and their key drivers. For each of the 1000 building variations in the sample, the emissions were calculated using a life-cycle assessment. Multivariate regression analysis enabled the study of the results' sensitivity to 10 parameters, influencing building operation, design and others. The emissions ranged from 20 to 106 kg CO2-eq/m² gross floor area and year. Electricity mix, climate and cooling efficiency were the most impactful parameters, but building component service time was also significant. [ABSTRACT FROM AUTHOR]

Summary: The Middle East region is a key player in the world energy market today. It holds approximately over 50% of the world's proven fossil fuel reserves. Yet, the region is significantly challenged by the large dependence on finite fossil fuel resources in its primary energy supply. The intricate relationship between climate change mitigation and the development of energy systems underlines great uncertainty over the future of energy development in the Middle East. Such uncertainty is greatly linked to growing energy demands and the region's capacity to transition to low‐carbon energy systems. Over the past 20 years, the total primary energy demand in the Middle has almost tripled due to rapid population growth and economic development. Notably, most of the growing energy demand was concentrated in 5 countries, Iran, Saudi Arabia, Iraq, Kuwait, and the UAE. These 5 countries represented around 82% of the total primary energy demand in 2015, with Saudi Arabia and Iran alone accounted for 60%. The core question of this paper is what are the possible implications of growing energy demands in these countries and which sectors will entail significant increases in the projected energy requirements? The significance of the work presented here stems from analyzing 4 major countries that constitute the largest share in Middle East's total energy consumption and associated emissions. Examining these 4 countries together is important to highlight how future increase in these countries could largely affect the overall energy demand from the Middle East region in the next 20 years. Thus, the scope of the paper is looking at energy demand implications in 4 countries, Iran, Saudi Arabia, Kuwait, and the United Arab Emirates (UAE). Iraq is excluded from the analysis due to the large political uncertainty associated with Iraq's energy development. Here, a regression model is used to forecast energy demand from 5 economic sectors across the 4 countries using projected increase in population and gross domestic product (GDP) by 2030. Results indicate that most of the projected energy demand will be from Iran and Saudi Arabia. In addition, industry and transportation sectors will witness the largest increase among the 5 sectors examined in the paper. For instance, industry and transportation sector will collectively account for 52% and 67% of the projected energy demand in Iran and Saudi Arabia, respectively. Such results are important to highlight when ascertaining sectoral level implications of future energy demands and to determine potential areas where energy savings can be made. [ABSTRACT FROM AUTHOR]

As household incomes rise around the world and global temperatures go up, the use of air conditioning is poised to increase dramatically. Air conditioning growth is expected to be particularly strong in middle-income countries, but direct empirical evidence is scarce. In this paper we use high-quality microdata from Mexico to describe the relationship between temperature, income, and air conditioning. We describe both how electricity consumption increases with temperature given current levels of air conditioning, and how climate and income drive air conditioning adoption decisions. We then combine these estimates with predicted end-of-century temperature changes to forecast future energy consumption. Under conservative assumptions about household income, our model predicts near-universal saturation of air conditioning in all warm areas within just a few decades. Temperature increases contribute to this surge in adoption, but income growth by itself explains most of the increase. What this will mean for electricity consumption and carbon dioxide emissions depends on the pace of technological change. Continued advances in energy efficiency or the development of new cooling technologies could reduce the energy consumption impacts. Similarly, growth in low-carbon electricity generation could mitigate the increases in carbon dioxide emissions. However, the paper illustrates the enormous potential impacts in this sector, highlighting the importance of future research on adaptation and underscoring the urgent need for global action on climate change. [ABSTRACT FROM AUTHOR]

City authorities, community groups and retrofit installers need to identify suitable local areas and dwellings for installing energy retrofit measures. This paper presents a localised Geographical Information System (GIS) based approach that utilizes publicly-available national and local datasets on housing and energy to provide targeted low carbon measures across UK cities. The study uses a rapid city-level energy assessment approach to spatially identify suitable neighbourhoods for particular retrofit measures, based on relative energy use and fuel poverty ratings. A GIS-based carbon mapping model (called DECoRuM) is then used to estimate energy use and potential for energy reduction on a house-by-house level. The improvement measures are aggregated to encourage bulk installations and drive down installation costs. To identify an appropriate neighbourhood case study area, publicly available datasets were assessed for the town of Bicester (Oxfordshire, UK), which included Ordnance Survey Mastermap, Energy Performance Certificate data (EPC) and sub-national energy statistics available at lower layer super output area (LSOA). When the EPC data for Bicester were compared with the sub-national statistics for Bicester, the average difference was found to be ∼800 kWh. This is interesting as EPCs represent dwelling specific but modelled data whereas sub-national datasets represent actual but aggregated data. Superimposing the above datasets, a neighbourhood in southwest Bicester was selected as having the highest percentage of dwellings with energy consumption >300 kWh/m 2 /yr (EPC), most dwellings in need of wall insulation (EPC), second highest mean total energy consumption (sub-national), and third highest percentage of fuel poor dwellings (sub-national). House-level energy assessment in the selected area using DECoRuM showed that a package based approach comprising fabric and heating system upgrade and solar PVs emerged as the most effective. [ABSTRACT FROM AUTHOR]

Water and energy are substantial mediums which allow to gain comfort and civilization development. Recently, humanity is facing a water scarcity problem as well as an energy crisis. Those factors forced to looking for alternative water sources and low energy solutions. In this paper water treatment technologies methods were described. Energy demand and cost of particular methods were analyzed. It was shown that conventional methods like coagulation and sedimentation are characterized by quite low energy demand. Whereas more advanced membrane techniques consumed much more energy. On the other hand they were able to obtain high removal efficiencies. It was noted that the most energy-intensive stage during water treatment was pumping. Whereas energy for performing purification stated only about a few percent of total energy demand. One of the newest approaches in water treatment is using renewable energy sources like wind, solar radiation or geothermal energy. It allows to decrease water treatment costs as well as reduces greenhouse gasses emission (expressed as carbon footprint). During designing water treatment plants water increase in water and energy demand supposed to be considered. • Observed climate changes lead to problems with access to fresh water. • Energy crisis forces searching for low-emission water treatment processes. • In future water treatment costs should consider costs of adaptation to climate change. [ABSTRACT FROM AUTHOR]

Numerous studies about climate change have emerged in recent years because of their potential impact on many activities of human life, amongst which, the building sector is no exception. Changes in climate conditions have a direct influence on the external conditions for buildings and, thus, on their energy demand. In this context, computer aided simulation provides handy tools that help in assessing this impact. This paper investigates climate data for future scenarios and the effect on energy demand in office buildings in Chile. This data has been generated in the 9 climatic zones that are representative of the main inhabited areas, for the years 2020, 2050 and 2080. Predictions have been produced for the acknowledged A2 ‘medium-high’ Greenhouse Gases emissions GHG scenario, pursuant the Intergovernmental Panel on Climate Change (IPCC). The effect of climate change on the energy demand for office buildings is optimized by implementing the calculation procedure of ISO-13790:2008, based on iterations of its envelope and form. As a result, this research clarifies how future climate scenarios will affect the energy demand for different types of office buildings in Chile, and how their shape and enclosure can be optimized. [ABSTRACT FROM AUTHOR]

Robust understanding of possible trade-offs and synergies between climate change, energy and water sector policies is critical to achieving economically viable and environmentally sound agricultural production systems in a low-carbon water-constrained economy, in which greenhouse gas (GHG) emissions are penalized and water savings rewarded. Accurate assessment of the potential costs/benefits of investment decisions can help to optimize the economic efficiency of agricultural production while minimizing environmental impacts. This paper presents a novel integrated framework, based on carbon and water accounting, which enables analysis of potential trade-offs between water savings, energy consumption, GHG emissions and economic costs/benefits associated with the adoption of new water efficient irrigation technologies. The framework was applied to an irrigated lucerne cropping system in eastern Australia and compares the costs/benefits of old roll-line sprinkler irrigation systems against new pressurized systems. Positive synergies were found with the adoption of the new technology, which saved both water and energy use, reduced total GHG emissions and resulted in net economic returns across a range of carbon prices. The results of this study provide support for an integrated evidence-based approach to policy development and strategic decision-making and for the prioritization of investments on both economic and environmental grounds. [ABSTRACT FROM AUTHOR]

The foremost role of a building is to assure the comfort of its occupants. The thermal comfort of a building depends on the outdoor climate and requires a demand in energy for heating and cooling. In this paper, demand of energy (heating/cooling) in the buildings is discussed in Douala, Cameroon. Daily data of the last 40 years coming from five weather stations of Cameroon have been studied. Some forecasts have been carried out with 14 GCM models, associated to three future climate scenarios B1, A2, and A1B. However, only INCM3 of General Circulation Model (GCM) and A2 scenario was used. Energy demand in buildings is valued by HDD (heating degree day) and CDD (cooling degree day) indices. Obtained results show that the temperature evolves more quickly in dry season than in rainy season in Douala. Climate rise indicates an increasing demand of energy in the buildings for cooling. Global Douala heating shows a definite effect on outdoor comfort. From 2045 to 2075, the demand of energy for cooling will be superior to 50%. The total demand in energy for heating in the buildings is estimated to be 67.882 kcal from 1970 to 2000 and will be around 67.774 kcal from 2013 to 2043. [ABSTRACT FROM AUTHOR]

This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the EIC (Eastern Interconnection) located in the United States. The climate change scenario considered includes changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. Simulations were performed using the BEND (Building ENergy Demand) model which is a detailed building analysis platform utilizing EnergyPlus™ as the simulation engine. Over 26,000 building configurations of different types, sizes, vintages, and characteristics representing the population of buildings within the EIC, are modeled across the three EIC time zones using the future climate from 100 target region locations, resulting in nearly 180,000 spatially relevant simulated demand profiles for three years selected to be representative of the general climate trend over the century. This approach provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to perform detailed hourly impact studies of building adaptation and mitigation strategies on energy use and electricity peak demand within the context of the entire grid and economy. [ABSTRACT FROM AUTHOR]

The population growth and the economic development that the five Countries (Argentina, Bolivia, Brazil, Paraguay and Uruguay) located in La Plata Basin (LPB) have gone through over the last decades have risen the necessity to assess the current and future electricity demand and compare it to the energy production. In this region, the water resources of LPB are one of the most important sources of energy. In this context, the CLARIS EU (European Union) FP7 project has carried out an extensive research work which, in terms of investigating hydropower potential and vulnerability, has produced the following outcomes: assessment of current hydropower production and electricity demand; calculation of the maximum potential hydropower in order to establish whether and when shortage in terms of hydropower generation is to be expected; analysis of potential residual hydropower taking into account future user demands and analysis of hydropower production taking into account climate change scenarios, in order to identify potential vulnerabilities under variable input and/or needs for other sources of energy. This paper focuses on the outcomes of the climate change scenario analysis and its impacts on hydropower production in the basin. This has been investigated by (1) assessing the current hydropower production and electricity demand over the last 20 years (1991–2010), in order to establish growing trends in the short-term (2031–2040) and at the end of the century (2079–2098); (2) estimating maximum potential hydropower under present hydrological conditions; (3) analysis of potential vulnerability, by combining the first two research steps and (4) analysing the impact of climate change scenarios on hydrological variability and thus on hydropower production. The assessment of hydropower production and electricity demand determined that the current hydropower production represents about 73% of the electricity demand. Analysing the trends for the electricity produced by hydro-plants and the electricity demand, it is evident that the increment rate for the hydroelectricity production is lower than the increment rate of the electricity demand. Although, the maximum theoretically available energy at the basin level is about 683 GWh, the maximum feasible available energy (taking into account environmental flow requirements and financial constraints) will be of about 514 GWh per year. The climate change analysis shows an opposite trend at the sub-basin level, but overall, at the basin scale, the hydropower production is expected to increase because of changes in the hydrological variables. [ABSTRACT FROM AUTHOR]

Abstract: Although previous climate change research has documented the effects of linking mitigation and adaptation in the energy sector, there is still a lack of integrated assessment, particularly at national level. This paper may contribute to fill this gap, identifying the interactions between climate change and the energy demand in Macedonia. The analyses are conducted using the MARKAL (MARKet ALlocation)-Macedonia model, with a focus on energy demand in commercial and residential sectors (mainly for heating and cooling). Three different cases are developed: 1) Base Case, which gives the optimal electricity production mix, taking into account country''s development plans (without climate change); 2) Climate Change Damage Case, which introduces the climate changes by adjusting the heating and cooling degree days inputs, consistent with the existing national climate scenarios; and 3) Climate Change Adaptation Case, in which the optimal electricity generation mix is determined by allowing for endogenous capacity adjustments in the model. This modeling exercise will identify the changes in the energy demand and in electricity generation mix in the Adaptation Case, as well as climate change damages and benefits of the adaptation. [Copyright &y& Elsevier]

While designing the volume of a building, architectural solutions can be employed to achieve greater energy efficiency for the entire lifecycle of the building. However, currently this possibility is not sufficiently utilised. The paper provides a comparative analysis of architectural solutions, presenting the ones that not only allow for a reduction in energy losses through the external envelope of a building considering the local climatic conditions; but also make it possible to increase the use of energy from renewable resources. [ABSTRACT FROM AUTHOR]

Abstract: Forecasts of energy demand, the fuel mix meeting that demand and the associated emissions are a key requirement for informed energy planning and policy decisions to ensure energy security and address climate change. While there have been many studies on China focusing on the short and medium term (to 2020 and 2050) there is little in the literature focusing on the long term (to 2100). This paper seeks to address those gaps on sectoral energy demands and emissions on long term by following a two-stage approach. It develops key energy indicators on useful energy demand, transport mobility and end use fuel demand for various sectors. The main drivers of these indicators are socio-economic parameters. The indicators are used to project energy service demands and emissions forward for China in TIMES G5 model at least cost approach. The results from this reference scenario suggest that China will require approximately 4 Gtoe of primary energy, by the end of the 21st century to deliver 3 Gtoe final energy consumption, 10 PWh of electricity generation, 1.3 Gtoe of energy imports, which will results in 10 Gt CO2 emissions. [ABSTRACT FROM AUTHOR]

Abstract: Energy demand depends on outdoor temperature in a ‘u’ shaped fashion. Various studies have used this temperature dependence to investigate the effects of climate change on energy demand. Such studies contain implicit or explicit assumptions to describe expected socio-economic changes that may affect future energy demand. This paper critically analyzes these implicit or explicit assumptions and their possible effect on the studies'' outcomes. First we analyze the interaction between the socio-economic structure and the temperature dependence pattern (TDP) of energy demand. We find that socio-economic changes may alter the TDP in various ways. Next we investigate how current studies manage these dynamics in socio-economic structure. We find that many studies systematically misrepresent the possible effect of socio-economic changes on the TDP of energy demand. Finally, we assess the consequences of these misrepresentations in an energy demand model based on temperature dependence and climate scenarios. Our model results indicate that expected socio-economic dynamics generally lead to an underestimation of future energy demand in models that misrepresent such dynamics. We conclude that future energy demand models should improve the incorporation of socio-economic dynamics. We propose dynamically modeling several key parameters and using direct meteorological data instead of degree days. [Copyright &y& Elsevier]

This section presents abstracts of papers on city planning published from 2007 to 2008, including "Streets, Sounds and Identity in Inter-war Harlem," by Clare Corbould, "(Re)making the Other, Heterosexualising Everyday Space," by Kath Browne, and "Rankings and Reactivity: How Public Measures Recreate Social Worlds," by Wendy Nelson Espeland and Michael Sauder.

This paper summarises the methodology and results of work involved in the investigation of energy demand in six Chinese villages included in the SUCCESS Project. The procedures used to collect data associated with local energy demand are explained and the approach to data analysis is explained. Results are provided in terms for delivered energy consumption, as an indicator of energy demand; primary energy consumption, as an indicator of energy resource depletion; and carbon dioxide emissions, as an indicator of global climate change. Similarities and differences between results for this sample of villages are considered. The important causes of differences in results are investigated. [Copyright &y& Elsevier]

Abstract: Using cross-sectional data, this paper estimates a national energy model of fuel choice by both households and firms. Consumers in warmer locations rely relatively more heavily on electricity rather than natural gas, oil, and other fuels. They also use more energy. Climate change will likely increase electricity consumption on cooling but reduce the use of other fuels for heating. On net, American energy expenditures will likely increase, resulting in welfare damages that increase as temperatures rise. For example, if the US warms by 5°C by 2100, we predict annual welfare losses of $57 billion. [Copyright &y& Elsevier]

The seminal studies by Allcott and Mullainathan (2010), Allcott (2011), and Allcott and Rogers (2014) show that social comparison-based home energy reports (HER) are a cost-effective climate policy intervention in the US. Our paper demonstrates the context-dependency of this result. In most industrialized countries, average electricity consumption and carbon intensity are well below US levels. Consequently, HER interventions can only become cost-effective if treatment effect sizes are substantially higher. For Germany, we provide evidence from a large-scale randomized controlled trial that effect sizes are in fact considerably lower than in the US. We conclude by illustrating that targeting highly responsive subgroups is crucial to reach cost-effectiveness and by identifying the few countries in which HER are promising policy instruments. [ABSTRACT FROM AUTHOR]

Climate change is around us today and will affect human life in many ways. More frequent extreme weather events raise mortality and car accident rates, global warming leads to longer growing seasons for crops, which may change farmers' crop choices, and the relationship between energy demand in residential buildings and weather is widely investigated. In this paper, we focus on the impact of weather on energy consumption, in particular, gasoline consumption through the more frequent use of both vehicles themselves and the air conditioner of the vehicle that decreases fuel economy, which has not been paid enough attention in the literature. We estimate the relationship between fuel consumption and weather using unique U.S. panel data. We find that hot days increase gasoline consumption, but in contrast to the results of residential energy consumption literature, there is no statistically significant effect on cold weather. With climate prediction data from General Circulation Models (GCMs), we simulate the impact of climate change on fuel energy consumption. The results show that the fuel consumption in the transportation sector may increase by up to 4% under the "business-as-usual" (RCP 8.5) scenario. Also, climate change has heterogeneous impacts across the continental United States. [ABSTRACT FROM AUTHOR]

Pakistan has been experiencing energy crisis owing to its sole dependence on fossil fuels. Reduction in local fossil fuel reserves has led to an increase in their prices, thereby increasing the cost of electricity. Since the tariff remains the same, Pakistan is over-burdened with circular debts and observes a daily power shortfall of about 12–14 h. Being an Agra-economic country, many major and minor crops are produced and exported in large quantities. This results in a bulk of the agricultural waste which are not utilized. The waste can be utilized to meet the country’s energy demand while mitigating climate change and its impact. The study examines the electricity production potential and social benefits of rice husk in Pakistan. It is estimated in this study that if 70% of rice husk residues are utilized, there will be annual electricity production of 1,328 GWh and the cost of per unit electricity by rice husk is found at 47.36 cents/kWh as compared to 55.22 cents/kWh of electricity generated by coal. Importantly, the study will increase the awareness of the benefits of utilizing agricultural waste for useful products such as silica, with several social and environmental benefits such as a reduction of 36,042 tCO2e/yr of methane, reducing carbon dioxide emissions, improving the air quality, and providing 4.5 k new jobs. The paper concludes with the policy recommendations based on this study. [ABSTRACT FROM PUBLISHER]