{"product_id":"energy-systems-engineering-modeling-analysis-and-application","title":"Energy Systems Engineering: Modeling, Analysis and Application","description":"\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"u7qumn-38oend-85jy7q-z9853p\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"1604272058\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"xzst4v-oqvam5-7vyc43-dx6vtu\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv data-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"3662638622\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"xcc6np-eu9lp-n3nxkq-kq20rp\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv class=\"accordion-item\" id=\"acc-description\"\u003e\n\u003cdiv role=\"region\" id=\"flush-collapseTwo\" class=\"accordion-collapse collapse show\" aria-labelledby=\"flush-headingTwo\"\u003e\n\u003cdiv class=\"accordion-body description\"\u003e\n\u003cdiv class=\"desc-full\"\u003e\n\u003cdiv class=\"expanded\" id=\"bookDescriptionBox\"\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003eEnergy Systems Engineering\u003c\/span\u003e\u003cspan\u003e is a comprehensive guide for students, researchers and professionals navigating through the rapidly evolving energy landscape. This book bridges theory and practice, delivering clear explanations of the origin of energy system modeling approaches, deliverables, performance analysis, and real-world applications across conventional and renewable technologies.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFrom linear models to data-driven optimization, this book equips readers with the tools required to design efficient, sustainable and economically viable energy solutions. Reviews, case studies, numerical examples and analytical frameworks help translate complex concepts into practical insights. The book also covers smart grids, hybrid systems, storage technologies and sustainability assessments, which reflect current industry trends and research directions.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWhether for coursework, project development or professional reference, this book empowers readers to understand, evaluate and innovate within modern energy systems, supporting the global transition toward cleaner, smarter and more resilient energy infrastructure.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003cbr\u003ePreface xv\u003cbr\u003eSivasankari SUNDARAM\u003c\/p\u003e\n\u003cp\u003eChapter 1. A Stochastic Framework for Enhancing Smart Grid Reliability under Solar Generation Uncertainty in Keeping with Emission Standards 1\u003cbr\u003eSuriya PONNAMBALAM and Ilampoornan M.K.\u003c\/p\u003e\n\u003cp\u003e1.1. Introduction 1\u003cbr\u003e1.2. Literature review 3\u003cbr\u003e1.3. Problem formulation 11\u003cbr\u003e1.4. Uncertainty in solar power generation 16\u003cbr\u003e1.5. Real-time monitoring in SGs 17\u003cbr\u003e1.6. Optimization of electricity flow in SGs 20\u003cbr\u003e1.7. Conclusion 22\u003cbr\u003e1.8. Policy implications 22\u003cbr\u003e1.9. Future directions 23\u003cbr\u003e1.10. References 24\u003c\/p\u003e\n\u003cp\u003eChapter 2. A Hybrid Machine Learning Approach to Assessing the Comprehensive Health of Batteries in Electric Vehicles 27\u003cbr\u003eVenkatesh MURUGAN, Satish Kumar RAMOJI, Venkata Pavan Kumar ARAPIRALA, Lalit Chandra SAIKIA and Biswanath DEKARAJA\u003c\/p\u003e\n\u003cp\u003e2.1. Introduction 28\u003cbr\u003e2.2. Literature review 29\u003cbr\u003e2.3. System design 32\u003cbr\u003e2.4. Model development 35\u003cbr\u003e2.5. Model evaluation and constraints 38\u003cbr\u003e2.6. Data generation and preprocessing 41\u003cbr\u003e2.7. Model training 41\u003cbr\u003e2.8. Results and discussion 42\u003cbr\u003e2.9. Conclusion 51\u003cbr\u003e2.10. References 52\u003c\/p\u003e\n\u003cp\u003eChapter 3. Operation and Control of an Autonomous Hybrid Generation System Based on Wind, Solar, Biogas and Battery Bank 55\u003cbr\u003eNindra SEKHAR, Kumaresan N, Venkatesh BODDAPATI, Ravulakari KALYAN, Venkata Madhavaram T and Nethravathi S\u003c\/p\u003e\n\u003cp\u003e3.1. Introduction 56\u003cbr\u003e3.2. Autonomous hybrid renewable generation system 59\u003cbr\u003e3.3. Comprehensive operation of the proposed AHRGS 65\u003cbr\u003e3.4. AHRGS control strategy 67\u003cbr\u003e3.5. Simulation results for the proposed hybrid system 70\u003cbr\u003e3.6. Experimental outcomes of the proposed hybrid system 84\u003cbr\u003e3.7. Conclusion 93\u003cbr\u003e3.8. Acknowledgments 94\u003cbr\u003e3.9. References 94\u003c\/p\u003e\n\u003cp\u003eChapter 4. Techno-Economic Analysis of a Hybrid Renewable Energy System with Solar PV, Wind and Biomass for Off-Grid Communities: A HOMER-Based Case Study in Aalborg, Denmark 97\u003cbr\u003eVenkatesh BODDAPATI, Nethravathi S, Prakash D.B., Nindra SEKHAR and Arul Daniel S.\u003c\/p\u003e\n\u003cp\u003e4.1. Introduction 98\u003cbr\u003e4.2. Proposed system architecture 99\u003cbr\u003e4.3. System modeling 99\u003cbr\u003e4.4. Economic analyses 102\u003cbr\u003e4.5. Results and discussion 105\u003cbr\u003e4.6. Comparison of different case studies and their economic analysis 129\u003cbr\u003e4.7. Summary 130\u003cbr\u003e4.8. Conclusion 130\u003cbr\u003e4.9. References 130\u003c\/p\u003e\n\u003cp\u003eChapter 5. Impact of Field Degradation Rates on the Levelized Cost of Energy (LCOE) for Solar PV Systems 133\u003cbr\u003eAlmas and Sivasankari SUNDARAM\u003c\/p\u003e\n\u003cp\u003e5.1. Introduction 134\u003cbr\u003e5.2. Literature on PV degradation and LCOE computation techniques 137\u003cbr\u003e5.3. Experimental setup and data acquisition framework 139\u003cbr\u003e5.4. LCOE formulation and integration of field-derived Rd 143\u003cbr\u003e5.5. Results and discussion 146\u003cbr\u003e5.6. Conclusion and future scope 147\u003cbr\u003e5.7. Future scope 147\u003cbr\u003e5.8. References 148\u003c\/p\u003e\n\u003cp\u003eChapter 6. Harnessing the Future: The Critical Role of Energy System Models in Shaping Sustainable and Resilient Global Energy Landscapes 151\u003cbr\u003eVenkatesh R and Subramani K\u003c\/p\u003e\n\u003cp\u003e6.1. Introduction 152\u003cbr\u003e6.2. Energy system models: key concepts and types 158\u003cbr\u003e6.3. The role of energy system models in sustainable energy transitions 167\u003cbr\u003e6.4. Predicting future energy scenarios 171\u003cbr\u003e6.5. Energy system models and policy making 172\u003cbr\u003e6.6. Impact of energy system models on greenhouse gas emissions and climate goals 174\u003cbr\u003e6.7. Energy system models and global energy resilience 178\u003cbr\u003e6.8. Conclusion 180\u003cbr\u003e6.9. References 183\u003c\/p\u003e\n\u003cp\u003eChapter 7. Application of Digital Technologies in Renewable Energy Systems 187\u003cbr\u003eManimegalai S. and Binu Ben Jose D.R.\u003c\/p\u003e\n\u003cp\u003e7.1. Introduction 188\u003cbr\u003e7.2. Overview of RESs 191\u003cbr\u003e7.3. Core digital technologies 196\u003cbr\u003e7.4. Applications across renewable sources 202\u003cbr\u003e7.5. Predictive maintenance and asset management 212\u003cbr\u003e7.6. Data-driven decision-making 217\u003cbr\u003e7.7. Case studies 217\u003cbr\u003e7.8. Challenges and considerations 218\u003cbr\u003e7.9. Future directions 220\u003cbr\u003e7.10. Conclusions 222\u003cbr\u003e7.11. References 223\u003c\/p\u003e\n\u003cp\u003eChapter 8. Enhancing UAV Performance in Energy Applications through Advanced Algorithms and Hardware 227\u003cbr\u003ePranitha KARTHIKEYAN and Sivathanu Pillai A\u003c\/p\u003e\n\u003cp\u003e8.1. Introduction 227\u003cbr\u003e8.2. Important domain for applications 228\u003cbr\u003e8.3. Literature synthesis 229\u003cbr\u003e8.4. Objectives 230\u003cbr\u003e8.5. Line edge cutting method 230\u003cbr\u003e8.6. Lucas–Kanade method 232\u003cbr\u003e8.7. Contour approximation and mask edge method 234\u003cbr\u003e8.8. Proposed improved contour and mapping method 236\u003cbr\u003e8.9. Implementation design steps 239\u003cbr\u003e8.10. Conclusion 242\u003cbr\u003e8.11. Appendix 242\u003cbr\u003e8.12. References 244\u003c\/p\u003e\n\u003cp\u003eChapter 9. The Role of Green Hydrogen in a Sustainable Energy Future: A Technoeconomic Review 247\u003cbr\u003eArunkumar N, Arun J and Balasabarinathan K.V.\u003c\/p\u003e\n\u003cp\u003e9.1. Introduction 248\u003cbr\u003e9.2. Outline of green hydrogen energy systems 249\u003cbr\u003e9.3. Integrated modeling, experimental investigations and applied projects aimed at advancing green hydrogen energy solutions 256\u003cbr\u003e9.4. A thorough review and exploration of future opportunities for GHESs 262\u003cbr\u003e9.5. Conclusion 264\u003cbr\u003e9.6. References 265\u003c\/p\u003e\n\u003cp\u003eList of Authors 269\u003cbr\u003eIndex 273\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"celwidget aplus-module module-12 aplus-standard\" data-cel-widget=\"aplus-module-12\" data-csa-c-id=\"e48qwb-36wm3s-vb6e8j-pnxs9b\"\u003e\n\u003cdiv class=\"aplus-module-wrapper apm-spacing apm-floatnone apm-fixed-width\"\u003e\n\u003cdiv class=\"apm-sidemodule aplus-module-content\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cb\u003eBOOKREAD™ 5-STEP SATISFACTION GUARANTEE\u003c\/b\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e1. No Risk, 30-Day Money-Back Guarantee. \u003cbr\u003e2. instant download. No surprises or hidden fees.\u003cbr\u003e3. Safe Payments via Credit\/Debit Card or PayPal® \u003cbr\u003e4. McAfee™ and SSL secured shopping cart.\u003cbr\u003e5. lifetime customer support.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"a-section a-spacing-small a-padding-base\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e","brand":"My Store","offers":[{"title":"PDF","offer_id":57354686038347,"sku":null,"price":29.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1031\/1204\/8971\/files\/Simpson_s_Forensic_Medicine_15th_Edition.jpg?v=1779088233","url":"https:\/\/bookread.io\/products\/energy-systems-engineering-modeling-analysis-and-application","provider":"bookread","version":"1.0","type":"link"}