Integrating the Assessment of Environmental Costs and the Non-Energy Benefits of Energy Efficiency into an Energy Demand Analysis of the Tertiary Sector DOI Creative Commons
Sonja Arnold-Keifer, Simon Hirzel, Clemens Rohde

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(9), P. 2354 - 2354

Published: May 5, 2025

Energy system models or energy demand analysis, such as top-down and bottom-up models, provide consumption data in end-uses, carriers, subsectors. A technical efficiency potential can be determined by applying the best available technology (BAT) values. This paper aims to take consideration of an model a new level including environmental social aspects. Using example tertiary sector, it is shown how incorporate quantification methodology for non-energy benefits (NEBs) together with (avoided) costs into analysis. leads overall assessment sector shows integrating avoided NEBs increases economic efficiency, cost-effectiveness, profitability measures. Assuming price 29.04 EUR-ct2020/kWh ratio total net savings 2.3 NEBs, all considered measures are economic. that considering could important policy instruments.

Language: Английский

Can the Energy Consumption Rights Trading System Enhance Energy Resilience? — A Synergistic Perspective of Green Finance and Financial Technology DOI
Bo Yang,

Ya Ru Cui

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135605 - 135605

Published: March 1, 2025

Language: Английский

Citations

0
Innovative Solutions for Combating Climate Change: Advancing Sustainable Energy and Consumption Practices for a Greener Future DOI Open Access

Ayliṅ Erdoğdu,

Faruk Dayı, Ahmet YANIK

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2697 - 2697

Published: March 18, 2025

This paper investigates strategies to address climate change by promoting sustainable energy technologies and consumption practices. It examines renewable sources such as solar, wind, geothermal their potential reduce greenhouse gas emissions. The study also explores optimization techniques, focusing on genetic algorithms (GAs) smart systems like grids microgrids, which enhance efficiency sustainability. research highlights the role of circular economy in fostering through recycling waste management. Furthermore, economic trade-offs between environmental harm, impact both fossil fuel energies. A dual methodological approach is employed: first, an endogenous growth model excluding factors, followed a modified version incorporating considerations. Using continuous algorithm data from 2000 2025, forecasts optimal trajectory for energy’s share global under two scenarios. findings suggest that could represent 82.4% total constraints, up current 45%. hindered challenges droughts, hydropower production. concludes achieving transition requires comprehensive policies integrating expansion, efficiency, protection. These provide important insights into optimizing pathways They serve foundation future policy recommendations, aiming ensure low emission balancing need with preservation environment.

Language: Английский

Citations

0
The future is digital: Can the digital economy drive marine sustainability? Exploring regional impacts on fisheries’ carbon emissions in coastal China DOI
Yao Zhang, Sufyan Ullah Khan, Yixiao Wang

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145518 - 145518

Published: April 1, 2025

Language: Английский

Citations

0
Innovative hybrid fuzzy MCDM techniques for adopting the appropriate renewable energy strategy DOI Creative Commons
Ghazi M. Magableh, Mahmoud Z. Mistarihi,

Saba Abu Dalo

et al.

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100234 - 100234

Published: April 1, 2025

Language: Английский

Citations

0
Why is Environmental Regulation Ineffective? - From the Perspective of Government Strategies and Pollutant Attributes DOI
Wanyu Ren, Chenxi Huang, Yue Li

et al.

Environmental Development, Journal Year: 2025, Volume and Issue: unknown, P. 101231 - 101231

Published: May 1, 2025

Language: Английский

Citations

0
The Energy-Economy Nexus of Advanced Air Pollution Control Technologies: Pathways to Sustainable Development DOI Creative Commons

Sadiq H. Melhim,

Rima J. Isaifan

Energies, Journal Year: 2025, Volume and Issue: 18(9), P. 2378 - 2378

Published: May 6, 2025

Air pollution imposes a substantial economic burden globally, with estimated annual losses exceeding $8.1 trillion due to healthcare costs, lost productivity, infrastructure degradation, and agricultural damage. This review assesses the effectiveness of advanced air control technologies within broader context sustainable energy transitions. Through comparative life-cycle cost-benefit analyses, we evaluate financial viability, efficiency, policy relevance innovations such as carbon capture storage (CCS), AI-driven emissions monitoring, nanotechnology-enhanced filtration. Among assessed, CCS presents most significant capital expenditure (up $500 million per facility) but offers long-term returns through credits enhanced oil recovery, yielding up $30–40 in benefits for every $1 invested. AI-based monitoring systems demonstrate strong efficiency by reducing consumption industrial operations 15% improving regulatory compliance at larger scale. Nanotechnology-enabled filters provide high pollutant reduce operational resistance, yet face scalability end-of-life challenges. Additionally, emerging bioengineered offer promise low-resource settings require further validation. The integration these renewable systems, hydrogen-powered units solar-driven filtration, amplifies their environmental benefits. By aligning mitigation climate goals, this highlights pathway policymakers industries achieve both resilience sustainability. findings underscore that, while upfront costs may be high, strategic investments deliver across sectors.

Language: Английский

Citations

0
Integrating the Assessment of Environmental Costs and the Non-Energy Benefits of Energy Efficiency into an Energy Demand Analysis of the Tertiary Sector DOI Creative Commons
Sonja Arnold-Keifer, Simon Hirzel, Clemens Rohde

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(9), P. 2354 - 2354

Published: May 5, 2025

Energy system models or energy demand analysis, such as top-down and bottom-up models, provide consumption data in end-uses, carriers, subsectors. A technical efficiency potential can be determined by applying the best available technology (BAT) values. This paper aims to take consideration of an model a new level including environmental social aspects. Using example tertiary sector, it is shown how incorporate quantification methodology for non-energy benefits (NEBs) together with (avoided) costs into analysis. leads overall assessment sector shows integrating avoided NEBs increases economic efficiency, cost-effectiveness, profitability measures. Assuming price 29.04 EUR-ct2020/kWh ratio total net savings 2.3 NEBs, all considered measures are economic. that considering could important policy instruments.

Language: Английский

Citations

0