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• Decoupling of GDP from all energy sources under multiple principles are examined. • World economy achieved weak energy decoupling in most years during 2000–2011. • World economy coupled with coal use and tended to couple with cleaner energy use. • None of studied economies achieved long-term GDP-embodied energy decoupling. • Decoupling delusions occurred when only considering direct and total energy use. Decoupling indicators are widely used to understand links between economic growth and energy use. However, traditional decoupling analyses mostly focus on domestic energy consumption (i.e., the production-based principle) and neglect off-site energy use across global supply chains to satisfy an economy's final consumption (i.e., the consumption-based principle). Moreover, analyses for total primary energy conceal an economy's preference for different energy sources. Therefore, this paper evaluates decoupling states of GDP from all types of primary energy use under consumption-based principle, for world economy and eight typical economies during 2000–2011. Regarding total primary energy, world economy witnessed weak decoupling in most years, and most economies studied (e.g., USA, Japan and China) achieved decoupling initially but performed negative decoupling finally. For EU, USA, Japan, Russia and India, production-based decoupling performances were generally better than consumption-based ones. Decoupling phenomena detected under production-based principle even became coupling or negative decoupling under consumption-based principle in some cases. As for each energy source, world economy decoupled from oil use, but still coupled with coal use, and gradually showed a trend to couple with natural gas and renewables use. Different energy sources showed distinct decoupling degrees from GDP, affected by individual embodied energy requirement structure. This paper uncovers potential energy decoupling delusions to deepen the understanding of relationships between energy use and economic growth. [ABSTRACT FROM AUTHOR]

The use of non-imaging collectors has a wide scope in process heat applications based on its performance and economics. An experimental investigation of trapezoidal/concave cavity surface receiver (TSR) for non-imaging solar concentrating collector is carried out in this paper. The implementation of surface/coil receiver instead of tubular receiver for non-imaging collector is presented in this paper. A TSR with helical coil is developed for non – imaging concentrating collector, Elliptical Hyperbolic Collector (EHC). Experiments are carried to estimate the thermal performance of the system under various operating conditions such as two operating modes: series and parallel modes of operation of the collector, two circulation modes: passive and active modes. The stagnation temperature of the trapezoidal/concave cavity surface receiver is measured to be 118 °C on a clear sunny day in October and 102 °C on a cloudy day in February. The daily performance tests are performed under different operating conditions. Based on the experimental study, for the flow rate of 0.03 kg/min and 0.5 kg/min, the fluid outlet temperature is estimated to be 87 °C at 768 W/m 2 and 49 °C at 908 W/m 2 respectively. The corresponding instantaneous efficiency was calculated to be 9% and 40% respectively. The numerical model is developed to predict the temperature of the fluid along the receiver. The pressure drop across a receiver is estimated to be 9.3 kPa for a flow rate of 0.5 kg/min. Exergy analysis of the system is carried out and it ranges between 10 and 20%. The costs involved in fabricating the EHC system are compared to that of a non-imaging concentrating collector (CPC) of same aperture area. An economic analysis of the system is also carried out to study the feasibility of the system based on the life cycle savings method by estimating the annual solar savings from the EHC system. The present system can be a suitable option for low and medium temperature process heat applications. [ABSTRACT FROM AUTHOR]

The application of compressed biogas (CBG) in day-to-day livelihood has garnered significant attention in modern day era. It is considered as a potential solution to curb the increasing energy demand and other environmental concerns. The process involves anaerobic digestion (AD) (hydrolysis, acidogenesis, acetogenesis and methanogenesis) of organic substrate under an optimum operating condition (pH, temperature, etc.) via anaerobic microorganisms. This paper aims to describe some major facts about different technological options related to pre-treatment, AD, cleaning and up-gradation system. It also highlights the practical challenges related to high investment cost, inadequate infrastructure, clearance and approval issues, poor feedstock supply chain management etc. in adaption of CBG plants in India. The review examines the significance of both dry and wet continuous digester systems, which includes its advantages and challenges, considering factors, such as feedstock characteristics, process stability, and operational efficiency. It was also found that the type of feedstock and its availability in existing market plays a vital role in smooth functioning of CBG plants. Therefore, the study presents a comprehensive review discussing potential feedstock readily available for CBG plants in Indian market. It was concluded that the usage of agricultural waste (such as Napier grass) has higher CBG potential compared to other feedstock. At the same time, the study presents a broader aspect to policy makers and governing authorities to reframe the existing structure for financial assistantship, regulatory laws, subsidiary schemes etc. for CBG plant owners. It also gives an opportunity to technocrats, industrialist and investors to come-up with an indigenous technology with in-house manufacturing units to promote CBG production in India. [Display omitted] • India has 46 compressed biogas plants with an overall capacity of 272 tonnes/day. • Elaborated the significance of both dry and wet continuous digester systems. • Setting-up a compressed biogas plants requires high investment and operational cost. • Potential market for bio-fuels and bio-fertilizer needs to be explored in India. • Existing financial assistantship and subsidiary schemes need transformation. [ABSTRACT FROM AUTHOR]

The sustainability transition of electricity sectors is a matter of competition between multiple emerging renewable systems and dominant, established conventional systems. These transitions are multi-dimensional and are featured with non-linear and causal interactions between social, technical, economic and political components. Understanding the dynamic of transitions, i.e. how transitions unfold, can inform effective policy interventions. This paper aims to present a narrative-modelling approach to improve the understanding and description of transition dynamics in electricity sectors. The central ideas of the paper are: (1) the use of qualitative transition narratives helps to capture the co-evolving nature of society and technology which are simplified in modelling approaches; (2) narratives, with concepts from the sustainability transitions field, also guide the development of a model structure; and (3) computational models, in return, reproduce the complexity of transition dynamics, i.e. feedback loops, non-linearity, and time delays—the features which are impracticable to analyse with transition narratives alone. We use the historical transition of India's electricity sector to demonstrate the implementation of our proposed approach. First, an overview of the transition narratives is presented and the model structure, developed based on the narratives, is explained. Then, it is argued how the coupling of the narratives and model improves our understating of the positive impacts as well as the side-effects of stable feed-in tariffs and accelerated depreciation on the penetration levels of wind and solar electricity. [ABSTRACT FROM AUTHOR]

The annual consumption of petroleum products in India was about 221 million metric tons in 2015. Of this, 84% was imported. The Indian industrial sector accounts for about 16%-20% of the total fuel consumption for thermal energy for different heating applications in the temperature range of 50°C--250 °C. Solar collectors can meet these temperature requirements and offer the possibility to mitigate the consumption of oil. This study highlights the fact that conversion efficiency from solar energy is much higher for process heating than for electricity generation and that process heating applications constitute a significant share of industrial energy consumption. In this paper, a methodology has been developed to estimate the potential for integration of solar collectors for process heating. The methodology employs process operating temperatures to select the type of solar collectors. The size of the solar field is estimated taking into account the thermal heat loads, working fluid and temperatures of these processes, the efficiency of the chosen solar collectors, location-based solar irradiance and capacity utilization of the solar collectors. The proposed methodology has been validated with a software tool called System Advisor Model (SAM). The techno-economic analysis will indicate the viability of solar systems for integration in industries. Therefore, the consociated parameters on economic (capital cost, fuel oil savings, monetary benefits), financial (Payback periods, Rates of Returns) and environmental (Carbon savings) are estimated. Further, the methodology has been applied to select Indian industries to verify its potential quantitatively. The industries selected include Textile, Pulp & Paper, Dairy, Leather and Automobile. Process-wise energy demands are considered while estimating the potential as the fuel requirement offset by solar energy in terms of absolute fuel oil savings, monetary benefits and carbon savings. The other economic and financial parameters mentioned above were estimated to verify the capability and present the market position of solar systems. Further, sensitivity analyses have been performed with respect to solar energy penetration and fuel oil prices to address the viability of integration of solar energy for process heating. [ABSTRACT FROM AUTHOR]

Appliance labels are a widely used policy instrument to increase the adoption of energy-efficient technologies. Most countries use categorical labels to facilitate comparison of appliances based on energy consumption. Studies have found that consumers respond positively to the labels, but the differentiated response to the categories on labels is not well understood in the literature. This study presents the results of a discrete choice experiment corroborated by an analysis of secondary market data to demonstrate that consumers differentiate between label categories; with a greater value being placed on appliances with higher levels of energy efficiency performance. We examine two appliances - air conditioners and refrigerators and observe that there are some differences in consumer response - likely due to the different usage patterns of the two appliances. Consumer responses were observed in hypothetical choice situations constructed ensuring statistical and design efficiency. In a mixed logit model specification with correlated random parameters, the magnitude and the distribution of consumer preference for the highest category of energy efficiency are estimated. The results are validated by estimating the incremental price of higher category of energy efficiency using market data for comparison. The sources of consumer heterogeneity for the highest category of energy efficiency are identified after controlling for other consumer variables. The findings presented in this paper are useful for improving the effectiveness of existing energy efficiency programs and designing new programs to accelerate adoption of energy efficient technologies. [ABSTRACT FROM AUTHOR]

This paper investigates household decision-making behaviour in the market for energy-efficient lighting and appliances in Delhi, India to study the energy efficiency gap using the inter-disciplinary framework of behavioural economics. A primary dataset of survey responses and choice experiments is analysed to test whether under-investment in energy-efficient technologies is explained by present-biased preferences. A ‘Multiple Price List’ set is employed to compute the standard discount factor, and the present bias and long-run component of a quasi-hyperbolic specification. Individuals who are more patient and less present-biased are found to be more likely to invest in certain energy-efficient appliances. As expected, time preferences are relevant for larger purchases such as refrigerators but lose some or all of their explanatory power for inexpensive purchases such as light bulbs. Our quantitative study contributes to the existing literature, which is limited to qualitatively identifying the (market failure) barriers for energy efficiency; inter alia , it tests for behavioural failures in individuals' decision-making towards the environment. [ABSTRACT FROM AUTHOR]

This paper presents a quantitative assessment of Sustainable Energy Security (SES) of the energy demand sub-system for India by calculating a multidimensional SES index. The demand sub-system has been evaluated for four dimensions of SES, viz., Availability, Affordability, Efficiency and (Environmental) Acceptability using 23 selected metrics. A hierarchical structure has been used to construct indices using ‘scores’ (objective values of selected metrics), and ‘weights’ (subjective values, representing importance of each metric) which are then aggregated, to obtain a SES index. Various sectors of the energy demand sub-system are evaluated and dimensional and sectoral indices are calculated for the years 2002, 2007 and 2012. Assessment of the obtained energy indices is undertaken (separately for rural and urban residential sector) and results reveal that all (except one) sectoral indices have shown an increase during the period of assessment. The results show that from 2002 to 2012, the aggregate SES index has increased by approximately 10% which indicates a gradual improvement in the sustainability and security of the energy demand sub-system. However, the SES index is approximately 0.7 (against a desired target of 1.0), which implies that there is still a large scope for improvement in the performance of the India’s energy demand sub-system. A sensitivity analysis of various indices reveals that the SES index is relatively robust to variation in weights allotted to different dimensions and hence provides a reliable assessment of the energy demand sub-system. [ABSTRACT FROM AUTHOR]

Circular economy principles can lead to a series of opportunities to tackle climate change, particularly in cities of developing countries where the generation of waste, consumption and demand for energy is growing rapidly. This paper aims to advance the understanding of the expansion of circularity for tackling climate change using biomass for energy at the urban scale. In addition, little is known about how Circular Economy (CE) flows can be quantitatively integrated, what potential trade-offs exist in promoting Circular Economy using biomass, and how governance models can integrate these flows and contribute to a Circular Economy transition in cities. Based on an empirical study of a city in India, where the private sector participation through an innovative Public-Private Partnership (PPP) model enabled the use of urban wastewater in thermal power plants, the study presents the viability of Circular Economy models at the city scale. The feasibility of a further expansion of this circularity by co-firing biomass in local thermal power plants was analyzed, as a potential solution for reducing pollution and carbon emissions in a hard-to-abate sector. The result indicated an average 20.5 MJ kg−1 calorific value for torrefied mixed biomass pellets from crop residues, which, if applied to about 447 kt y−1 surplus biomass available in Nagpur would amount to 9.18 PJ of energy (per year). Overall, local power plants demanded about 19.85 Mt of coal in 2017–18, equivalent to 297.8 PJ in that fiscal year. Thus, the supply of torrefied pellets from peri-urban crop residues can meet between 2 and 3% of the demand from coal-fired power plants, resulting in a 0.3% decrease in the emissions from the power sector in India in 2017–18 (i.e., 922 MtCO 2), benefiting different sectors and levels of government. The analysis provides a framework for understanding the technical and institutional possibilities for strengthening the relationship between circular economy and climate change in the cities of developing countries by connecting flows and systems within and beyond urban centers. Therefore, the expansion of Circular Economy in cities can occur by integrating urban sectors and policy coordination at different levels of governance. Partnerships between local governments, utilities, and civil society for co-managing energy, water, and waste in cities can reduce the financial burden on national governments, including meeting national emission targets. [Display omitted] • Urban circular economy can be advanced using biomass in thermal power plants. • Our model estimates biomass contribution to national decarbonization targets. • Biomass pellets can meet between 2 and 3% of the demand from local coal-fired power plants. • Such replacement accounts for a 0.3% decrease (or 922 MtCO 2) in the emissions from India's power sector. • Results contribute to the design of CE models for cities and regions by including different levels of government and sectors. [ABSTRACT FROM AUTHOR]

Renewable energy is the most prominent sustainable rescue to satisfy the present-day increasing energy demand. Storage technology must also mature to complement its large-scale integration feasibility and mitigate intermittent, unpredictable, and unscheduled electricity sources. With the enhancement in technology and sustainability impact, battery energy storage systems are gaining popularity. The wide range of applications and their constraints are reviewed in this literature. Different models, such as system-resilient, planning, operational, etc., are analyzed in the present context. Application of BESS is restricted due to the temperature rise caused by heat production as it operates, which may eventually lead to fire hazards. The battery thermal model can be coupled with equivalent circuit model. Integrating electrical ECM with the thermal model involves estimating terminal voltage and current. In this work, evaluations and comparisons of different ECM are demonstrated, and their advantages and disadvantages are juxtaposed concerning the model's structural complexity, accuracy, simulation run time, and differential equations. However, the storage capacity of the battery fades over time. Therefore, this paper reviews various causes of deterioration and different battery degradation models. This is followed by inspecting multiple active, passive, and hybrid battery thermal management systems. A novel model is proposed to realize optimal scheduling in conjunction with spatiotemporal parasitic redressal. Further, with the understanding of BTMS, the study attempts to correlate the safety issues related to BESS, earmarking some significant accidents through the root cause analysis. This work also highlights the abiding codes and standards. An intimately interconnected and explicable technological upliftment in the avenues mentioned above is leading India in the field of BESS, and a list of systems at an appreciable stage of development in India is presented towards the end. [Display omitted] [ABSTRACT FROM AUTHOR]

Forest fires due to pine needles in the northwestern Himalayas during summers are a very common phenomenon every year causing major harm to flora and fauna. They are a major contributor to climate change as forest fires destroy hectares of land covered by forest and emit greenhouse gases in the atmosphere. One possible solution to this problem is to generate energy from the bio residue of pine tree. This paper intends to identify, categorize and prioritize the major factors that hinders and are barriers to energy generation using pine needles in the state of Uttarakhand, India. This paper adopts a multi-criteria decision-making approach based on the technique of fuzzy Analytical Hierarchy Process. Sensitivity analysis is also used to test the robustness of this technique. The study finds that Legal and regulatory factors are the most critical and categorized as major influences of such renewable energy generation project, which includes government policy, project guidelines, financial support, technical support, and government clearances. The second barrier is economic which majorly includes cost factor associated with the development and sustenance of such energy generation projects. Technological and market related factors are next on the priority to energy generation using pine needles through limitations such as topography, hilly terrain, seasonal availability, supply chain, poor marketing. Human resource barriers stands at the fifth place and has less influence on such energy generation initiatives. This paper will help the policy makers to understand the priorities while solving energy generation issues to reduce forest fires and contribute to mitigate climate change. • To categorize the major factors negatively affecting energy generation using Pine needles. • To assess and prioritize these barriers. • To deliver managerial and practical implications for these barriers. • Legal and regulatory most critical barrier to pine needle based energy generation. • Lack of proper marketing has topmost global ranking as barrier. [ABSTRACT FROM AUTHOR]

Accurately forecasting energy demand can better predict future changes in energy demand. This study is aimed to develop more accurate clean energy prediction model from two perspectives of the modeling mechanisms and improvements on the model structure. For this purpose, a novel Riccati–Bernoulli differential equation is established through social practice theory, supply–demand relationship, and the preference of consumption in the energy economy. Considering the limited information in observation data, this differential equation is then transformed into a grey Riccati–Bernoulli model (GRBM(1,1)) according to the differential information principle. With the response function solved on the basis of polynomial equation theory and the power exponent optimized combining the modified flower pollination algorithm, the main process of GRBM(1,1) can be summarized. The four validation examples are provided for confirming the effectiveness and reliability of the new model by comparing with other existing models. Finally, the proposed model is employed to estimate and forecast the clean energy consumption in China and India. The results show that the proposed model demonstrates better estimation in all cases and efficiency in short-term clean energy consumption forecasting. Therefore, by using this optimum model, China's preference coefficient in total energy consumption is 0.7103, lower than that of India (0.8799), and China's preference coefficient in clean energy consumption is 0.9665, higher than that of Indian (0.7155), which means China has less interest to increase total energy consumption but more interest in popularizing the clean energy. • This paper proposed a novel grey Riccati–Bernoulli model for energy consumption prediction. • A specific solution algorithm for this Riccati–Bernoulli equation is discussed in this research. • We compared the proposed novel grey model with other 12 exiting prediction models. • The novel model also reveals China's effort in popularizing the use of clean energy. [ABSTRACT FROM AUTHOR]

• Use of GFRG building technology promotes the concept of industrial symbiosis. • Reduction in initial embodied energy due to GFRG building technology is determined. • Benefits of GFRG technology include savings on materials, time and manpower needs. • Significant reduction in self-weight of GFRG buildings and its related advantages. The present situation vis-á-vis increased energy use and environmental emissions has urged the building sector to contribute more towards sustainable construction. This is possible only through appropriate choice of building materials and technologies that minimize the environmental impacts. Nevertheless, the adoption of the same need to necessarily satisfy the user in terms of aesthetics, utility and cost. This paper presents the comparison of embodied energy of a two-storey residential building, made using, i) GFRG (glass fibre reinforced gypsum), and, ii) load-bearing brick masonry, building technologies. GFRG technology uses load-bearing walls and slabs that are manufactured using gypsum waste, and consumes reduced quantity of reinforced concrete in comparison with conventional construction. It has been found in this study that the embodied energy related to building materials of the GFRG building is 16% less, and that associated with transport of resources is twice, compared to the conventional brick masonry building. The major advantages of the GFRG building construction are found to be about – reduction in structural weight and construction cost, – savings in construction time and – savings in total man power requirement for construction. Further, the use of cement, steel rebar and sand is reduced by 25%, 36% and 44% respectively. [ABSTRACT FROM AUTHOR]

Following India's efforts to mitigate the emission of greenhouse gases, there has been a transition from fossil fuels to clean energy sources, such as solar and wind, in the energy portfolio. The renewable energy sector is widely acknowledged as a fertile ground for employment creation, as it is labour-intensive. Against this backdrop, the main objective of this paper is to provide an empirical explanation of how the growth of renewable energy sources, particularly solar photovoltaic (PV) technology, affects employment creation in India. The findings reveal that, despite a substantial investment in India's solar PV technology, the number of jobs created by the sector declined marginally from 164000 in 2017–114000 in 2018. India's estimated employment elasticity is just 0.004, implying that the level of employment does not show a significant positive response to changes in installed capacity. Almost 60 per cent of the global solar PV workforce is in China, which has become the leading country both in terms of installed capacity of global solar PV technology and manufacturing of solar PV cells and modules. The wide disparity in solar PV employment between India and China is explained by the former's excessive dependence on China for solar PV cells. Alongside climate conservation, India should, therefore, place more emphasis on revitalising the domestic solar manufacturing industry to bring about efficient use of the nation's untapped resources. [ABSTRACT FROM AUTHOR]