Search

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 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]

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]

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]

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]