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"Kesadaran global akan dampak perubahan iklim memaksa industri listrik untuk mengadopsi energi terbarukan sebagai sumber listrik utamanya, yang membutuhkan inovasi dalam model bisnis energi terbarukan untuk masa depan. Penelitian ini menganalisis kelayakan Energy-as-a-Service (EaaS) dengan Third Party Ownership (TPO) untuk pengembangan PV surya skala utilitas dalam industri consumer goods. Empat skenario tipe dan konfigurasi PV surya skala utilitas untuk EaaS diusulkan, yaitu ground-mounted on-grid (OG-GM), ground-mounted hybrid (H-GM), floating on-grid (OG-F), dan floating hybrid (H-F) dengan asumsi pemanfaatan jaringan distribusi PLN melalui perjanjian power wheeling. Homer Pro digunakan untuk optimasi kapasitas PV surya untuk seluruh skenario, kemudian dilakukan analisis ekonomi untuk mengidentifikasi skenario paling layak dikembangkan. Hasil menunjukkan bahwa konfigurasi ground-mounted dan hybrid dapat diimplementasikan secara progresif untuk mencapai tujuan konsumen yaitu penggunaan 100% energi terbarukan. Temuan dalam penelitian menunjukkan bahwa PLTS floating on-grid menunjukkan hasil yang paling menguntungkan bagi konsumen dan Energy Service Company (ESCO) penyedia EaaS, dengan potensi penghematan biaya listrik sebesar 16% bagi konsumen dan avoided emission mencapai 13.650 ton CO2/tahun. Untuk mencapai target penggunaan energi terbarukan sebesar 100%, konsumen harus sepenuhnya beralih ke konfigurasi hybrid untuk membangun sistem kelistrikan yang bebas emisi, sehingga menghilangkan kewajiban untuk membeli REC dan menghasilkan potensi penghematan tahunan sebesar USD 40.591, meskipun terdapat peningkatan biaya listrik hingga 117% untuk menerapkan sistem hybrid yang memanfaatkan BESS tanpa pasokan jaringan PLN. Penerapan konsep ini akan bermanfaat bagi konsumen dan ESCO, dan bertindak sebagai katalis untuk mempercepat pengembangan energi terbarukan di Indonesia.

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Global consciousness of the effects of climate change compels power industry to adopt renewable energy as its main source of electricity, necessitating innovation in renewable energy business models for the future.  This research analyzes the viability of Energy as a Service (EaaS) with Third Party Ownership (TPO) for utility-scale solar PV development in the fast-moving consumer goods industry. Four  scenarios of types and configurations of utility-scale solar PV for EaaS are proposed, which are on-grid ground mounted (OG-GM), hybrid ground mounted (H-GM), on-grid floating (OG-F), and hybrid floating (H-F) under the premise of utilizing PLN grid via power wheeling lease agreement. The Homer Pro optimizes capacity of utility-scale solar PV for the scenario, thereafter conducting an economic analysis to identify the most viable scenario developed. The results indicates that both on-grid and hybrid configurations can be progressively implemented to attain the consumer’s goal of 100% renewable energy usage.  These findings suggest that on-grid floating solar yields the most advantageous outcome for deployment, benefiting both the consumer and ESCO as EaaS provider, with potential electricity cost savings of 16% for consumers and significant emission avoided of up to 41,299 ton CO2 annually. In addition, to attain consumer’s 100% renewable energy usage target, the consumer must completely transition to hybrid configuration to establish an emission-free electricity system, thereby eliminating the necessity to purchase Renewable Energy Certificates (RECs) and resulting in potential annual savings of USD 40,590.96, despite an increase in electricity costs of up to 117% to implement a hybrid system utilizing Battery Energy Storage Systems (BESS) without grid supply.The implementation of this concept will be beneficial for both consumer and ESCO, and act as catalyst to accelerate renewable energy development in Indonesia. "

"This book provides a relatively whole view of data-driven decision-making methods for energy service innovation and energy system optimization. Through personalized energy services provision and energy efficiency improvement, the book can contribute to the green transformation of energy system and the sustainable development of the society. The book gives a new way to achieve smart energy management, based on various data mining and machine learning methods, including fuzzy clustering, shape-based clustering, ensemble clustering, deep learning, and reinforcement learning. The applications of these data-driven methods in improving energy efficiency and supporting energy service innovation are presented. Moreover, this book also investigates the role of blockchain in supporting peer-to-peer (P2P) electricity trading innovation, thus supporting smart energy management. The general scope of this book mainly includes load clustering, load forecasting, price-based demand response, incentive-based demand response, and energy blockchain-based electricity trading. The intended readership of the book includes researchers and engineers in related areas, graduate and undergraduate students in university, and some other general interested audience. The important features of the book are: (1) it introduces various data-driven methods for achieving different smart energy management tasks; (2) it investigates the role of data-driven methods in supporting various energy service innovation; and (3) it explores energy blockchain in P2P electricity trading, and thus supporting smart energy management."