Energy characterization of residential and office buildings in a tropical location

Cárdenas-Rangel, Jorge; Osma-Pinto, Germán; Jaramillo-Ibarra, Julián

doi:10.1016/j.heliyon.2023.e16048

Cited by 2 publications

(1 citation statement)

References 26 publications

(34 reference statements)

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“…For the exchanged accumulated excess energy, the electricity service provider will charge the AGPE the commercialization cost for each kWh, corresponding to the (Cv) component of the tariff formula. In cases where exported energy exceeds imported energy from the grid during a billing period, these kWh will be settled at the corresponding hourly energy market price of the same billing period (Cárdenas-Rangel et al, 2023).…”

Section: Public Lighting Taxmentioning

confidence: 99%

Technical and Financial Analysis for the Implementation of Small-scale Self-generation Projects, based on Grid-Tied Photovoltaic Solar Energy, for Residential Users under Colombian Regulations

Muñoz,

Suarez,

Castro

et al. 2024

IJEEP

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The study focuses on integrating non-conventional renewable energy sources into Colombia's power system. The regulatory framework allows small prosumers to trade energy surpluses with grid operators. The research analyzes the financial feasibility of implementing photovoltaic systems for residential users. Technical aspects governing energy production and implementation costs are examined. Colombian residential users, divided into six socioeconomic strata, undergo individual analysis based on their energy rates and consumption patterns. The study area is Bucaramanga, known for intermediate solar potential. Precise cost estimates for implementing photovoltaic systems that meet user energy requirements are provided. Financial viability indicators (NPV, IRR, Payback Time) are evaluated for three scenarios: existing energy prices, 50% government financing, and a 10% tariff reduction due to government intervention. Results show financial viability for strata 4, 5, and 6, but not for strata 1, 2, and 3. Government intervention can make strata 2 and 3 feasible. Lowering the kWh price adversely impacts the project's financial feasibility for all strata, particularly the lower-income ones. The study is valuable for potential investors and policymakers seeking to promote photovoltaic systems in the residential sector. It provides insights into economic viability and helps develop effective policies for Colombia's sustainable energy transition.

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Section: Public Lighting Taxmentioning

confidence: 99%

Technical and Financial Analysis for the Implementation of Small-scale Self-generation Projects, based on Grid-Tied Photovoltaic Solar Energy, for Residential Users under Colombian Regulations

Muñoz,

Suarez,

Castro

et al. 2024

IJEEP

View full text Add to dashboard Cite

show abstract

Deep learning–based urban energy forecasting model for residential building energy efficiency

Rani,

Dahiya,

Kundu

et al. 2024

Energy Exploration & Exploitation

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Sustainable and inventive city design is becoming more and more dependent on the use of cutting-edge technology as smart cities develop further. Energy efficiency optimization in residential structures is an essential part of the puzzle as it helps conserve resources and keeps the planet habitable. An enhanced Deep Neural Network (DNN) model for household energy efficiency predictions is presented in this research. Our model uses a large dataset of building features, weather, occupancy patterns and energy usage histories. Data is preprocessed, features are engineered and hyperparameters are tweaked to improve DNN prediction. Scalable, easy-to-understand models are essential, as are shifting urban areas and energy landscapes. In this work, the authors have evaluated the proposed model with basic model with different optimizers. Initially, the Stochastic Gradient Descent optimizer applied that gained 91.02% Recall, 93.47% Precision, 93.28% F1-Score, 0.0153 MSE, 0.0166 RMSE and 0.0165 MAE. The proposed model gained 99.52% Recall, 98.91% Precision, 99.09% F1-Score, 0.0140 MSE, 0.0137 RMSE and 0.0139 MAE. By monitoring, analyzing and making decisions in real time, smart city systems can help planners understand energy usage trends. The optimized DNN model advances smart city development by promoting sustainability and resource optimization. Predicting residential buildings’ energy efficiency provides proactive energy savings, cost reduction and environmental impact mitigation. The suggested DNN model shows how smart cities use cutting-edge urban planning to become more sustainable, efficient and resilient.

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Energy characterization of residential and office buildings in a tropical location

Cited by 2 publications

References 26 publications

Technical and Financial Analysis for the Implementation of Small-scale Self-generation Projects, based on Grid-Tied Photovoltaic Solar Energy, for Residential Users under Colombian Regulations

Technical and Financial Analysis for the Implementation of Small-scale Self-generation Projects, based on Grid-Tied Photovoltaic Solar Energy, for Residential Users under Colombian Regulations

Deep learning–based urban energy forecasting model for residential building energy efficiency

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