Assessing and prioritizing biogas barriers to alleviate energy poverty in Pakistan: an integrated AHP and G-TOPSIS model.

Biogas is a promising renewable technology to alleviate energy poverty. Pakistan has a capacity of 5 million bio digesters that can be installed in different farming areas. However, this target has never been achieved because many barriers hamper the biogas industry development. In previous studies, some researchers have indicated these barriers in different geographical contexts: however, these barriers are rarely examined in Pakistan. To fulfill the research gap, this study prioritizes potential barriers. Using a literature review and a modified Delphi technique, we identify 25 sub-barriers and catalog them into 5 main categories. The analytical hierarchy process (AHP) prioritizes the main barriers and sub-barriers based on potential. Grey Technique for Order Preference by Similarity to Ideal Solution (G-TOPSIS) ranks the practical alternatives to combat these barriers. The study findings specify that the "financial barrier" is the top-ranked barrier among the main categories, followed by technical, socio-cultural, institutional and administrative, and environmental barriers. The overall ranking shows that the "high starting price tag" is ranked first among all sub-barriers in all categories. It has been proposed that "appropriate financial incentives" and "promotion of customized technology" would be feasible alternative solutions to combat the issues. Based on the research findings, some policy recommendations were suggested for biogas uptake in Pakistan. This study may assist policymakers, stakeholders, and government institutions in accelerating the potential of biogas energy to alleviate energy poverty in rural areas of Pakistan.

Assessing the role of sustainable strategies in alleviating energy poverty: an environmental sustainability paradigm.

The rapid urbanization and industrialization of India have caused a demand-supply gap in the electrical sector, leading to higher electric bills. Lower-income households face the worst energy poverty in the country. Sustainable strategies like corporate social responsibility are the most effective way to combat the energy crisis. This study aims to assess the contribution of corporate social responsibility (CSR) to energy poverty alleviation (EPA) by developing the role of mediating variables such as assessment of renewable energy resource (RER), feasibility of sustainable energy supply (SES), and sustainable energy development (SED). We used hybrid research methodology such as partial least squares structural equation modeling (PLS-SEM) to analyze the collected data from professionals, economic experts, and directors in the country in 2022. The study proved that CSR directly affects energy poverty alleviation. Besides, the findings suggest RER, SES, and SED significantly lead the energy poverty alleviation. The findings of this study will divert the attention of policymakers, stakeholders, and economists toward the corporate social responsibility to mitigate the energy crisis in Indian context. A mediating role of a renewable energy resource (RER) as a value-added contribution to this study can be strengthened more in future research. Based on the results, the study illustrates that CSR acts as a catalyst to alleviate energy poverty.

Modeling the impact of energy poverty on income poverty, health poverty, educational poverty, and environmental poverty: a roadmap towards environmental sustainability.

Energy poverty has gained considerable attention worldwide, adversely affecting income, education, health, and the environment. However, no study has examined the linkages among these dimensions and especially during COVID-19 in the Pakistani perspective. To bridge this research gap, we scrutinized the relationship among these variables to measure the hypotheses. The study analyzed the survey data collected from university students to meet the research objectives. We employed SPSS 26 for statistical description and correlation analysis and AMOS 26 to construct structural equation modeling to test the proposed hypotheses. The findings disclose that COVID-19 pandemic boosts energy poverty in Pakistan. Moreover, energy poverty positively and significantly influences income poverty, health poverty, educational poverty, and environmental poverty. Finally, relevant practical suggestions are provided based on the study findings.

Assessing the competitiveness of Indian solar power industry using the extended Five Forces Model: a green innovation perspective.

India's demand-supply imbalance electricity market results from the country's rapid population growth and extensive industrialization. Due to increased costs, many residential and commercial customers have difficulty paying their electric bills. Households with lower incomes are confronted with the most severe energy poverty in the entire country. A sustainable and alternative form of energy is required to solve these issues. Solar energy is a sustainable energy choice for India; however, the solar industry faces many issues. One of them is managing end-of-life cycle photovoltaic (PV) waste, as massive deployment of solar energy capacity has resulted in generating large amounts of PV waste, ultimately affecting environmental and human health. Therefore, this research employs "Porter's Five Forces Model" to analyze the factors that significantly impact the competitiveness of India's solar power industry. The inputs for this model consist of semi-structured interviews conducted with experts in the solar power industry on various solar energy-related issues and a critical analysis of the national policy framework using the relevant literature and official statistics. The impact of five significant stakeholders of the solar power industry on solar power generation in India is evaluated: buyers, suppliers, competitors, substitutes, and potential competitors. Research findings indicate the Indian solar power industry's current status, challenges, competition environment, and future estimates. This study will help the government and stakeholders to understand the intrinsic and extrinsic factors affecting the competitiveness of the Indian solar power sector and suggest policy recommendations to formulate procurement strategies that promote sustainable development within the solar industry.

Multinary nanocomposite of GO@SrO@CoCrO3@FeCr2O4@SnO2@SiO2 for superior electrochemical performance and water purification applications.

Novel multinary nanocomposite using solvothermal method synthesized and studied for their use in supercapacitors and photocatalysis to degrade pollutants using characterization techniques XRD, SEM, EDX, FTIR, Raman, UV-Vis, Zeta potential and photoluminescence spectroscopy whereas electrochemical testing via EIS, CV and GCD analysis. Average crystalline size of 20.81 nm measured from XRD whereas EDX confirms GO suppression within nanocomposite. Mixed matrix like morphology is observable from SEM micrographs. The composite exhibited a band gap of 2.78 eV that could degrade MB dye at 94 % under direct sunlight consistent with first-order kinetics. Multiple distinctive peaks in FTIR spectra indicates various functional groups exsistence in the material alongwith zeta potential value of -17.9 mV. Raman spectra reveals D-band shifting to value 1361 cm-1 while the G-band shifts to 1598 cm-1 relative to GO. Furthermore electrochemical performance evaluated revealing electron transfer rate value 4.88 × 10-9 cms-1 with maximum capacitance about 7182 Fg-1 at a scan rate of 10 mVs-1 respectively. Power density ranges from 3591.18 to 2163 W/kg and energy density from 299 to 120 Wh/Kg as measured from GCD analysis. These findings indicates that novel multinary nanocomposite holds potential as an electrode material in supercapacitors and as a sunlight-driven photocatalyst for the degradation of water-borne organic pollutants.