Strategies for an Energy Transition: Planning for a Sustainable Future guides readers through strategic planning for a sustainable energy shift. The book covers optimization of renewable energy systems, sustainable fuel production, and unconventional resources. It also addresses the water-energy nexus, emphasizing an integrated approach that includes technological, economic, environmental, and social sustainability. The book enables a deeper understanding of energy systems interconnections and broader energy decision implications. With insights into modeling, optimization, and strategic…mehr
Strategies for an Energy Transition: Planning for a Sustainable Future guides readers through strategic planning for a sustainable energy shift. The book covers optimization of renewable energy systems, sustainable fuel production, and unconventional resources. It also addresses the water-energy nexus, emphasizing an integrated approach that includes technological, economic, environmental, and social sustainability. The book enables a deeper understanding of energy systems interconnections and broader energy decision implications. With insights into modeling, optimization, and strategic planning, it equips academics, engineers, industry professionals, and policymakers with knowledge and tools for navigating energy transition complexities.
Tania Itzel Serrano-Arévalo is a Researcher in the Chemical Engineering Department, at the Universidad Michoacana de San Nicolás de Hidalgo, Mexico. She obtained her Master and Ph.D degrees in Chemical Engineering at the same institution. She has published several papers, with her paper 'Optimal Planning for Satisfying Future Electricity Demands Involving Simultaneously Economic, Emissions, and Water Concerns' in the Process Integration and Optimization for Sustainability journal receiving the Best Paper Award 2020. She has also been invited to act as reviewer for the Sustainable Production and Consumption journal. Dr. Serrano-Arévalo research focuses on process optimization (mono-objective and multi-objective) and sustainable energy planning.
Inhaltsangabe
1. Transition Towards Sustainable Energy: Approaches in Modelling and Optimization 2. Framework for Sustainable and Equitable Integrated Fuel Production Planning 3. Strategic Planning for Electricity Demand: Balancing Economics, Emissions, and Water Use 4. Designing an Optimal Waste Energy Integration System Between Plants 5. Considering the Water-Energy Nexus in Sustainable Energy Transitions: A Multi-Objective Optimization Approach 6. Equitable Profit Distribution in Waste Heat Integration Across Plants via a Hybrid Methodology 7. Planning for Long-Term Energy Transition: Incorporating Battery Degradation and Replacement Strategies 8. Multi-Objective Optimization of Cogeneration Systems: Economic, Environmental, and Social Perspectives 9. Optimal Integration of Solar Thermal Systems with Process Cogeneration 10. Incorporating Renewable Energy Storage and Hydrogen Production into the Electrical Sector 11. Predictive Planning for Power Sector Expansion in Mexico with Deep Learning 12. A Stakeholder-Driven Approach to Optimal Sustainable Energy System Planning Appendix: Introduction to Optimization and Deep Learning
1. Transition Towards Sustainable Energy: Approaches in Modelling and Optimization 2. Framework for Sustainable and Equitable Integrated Fuel Production Planning 3. Strategic Planning for Electricity Demand: Balancing Economics, Emissions, and Water Use 4. Designing an Optimal Waste Energy Integration System Between Plants 5. Considering the Water-Energy Nexus in Sustainable Energy Transitions: A Multi-Objective Optimization Approach 6. Equitable Profit Distribution in Waste Heat Integration Across Plants via a Hybrid Methodology 7. Planning for Long-Term Energy Transition: Incorporating Battery Degradation and Replacement Strategies 8. Multi-Objective Optimization of Cogeneration Systems: Economic, Environmental, and Social Perspectives 9. Optimal Integration of Solar Thermal Systems with Process Cogeneration 10. Incorporating Renewable Energy Storage and Hydrogen Production into the Electrical Sector 11. Predictive Planning for Power Sector Expansion in Mexico with Deep Learning 12. A Stakeholder-Driven Approach to Optimal Sustainable Energy System Planning Appendix: Introduction to Optimization and Deep Learning
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