Screening Curve Method for Economic Analysis of Household Solar Energy Self-Consumption

Fuente: arXiv
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Main Authors: Hoshino, Hikaru, Irie, Yosuke, Furutani, Eiko
Format: Preprint
Published: 2023
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author Hoshino, Hikaru
Irie, Yosuke
Furutani, Eiko
author_facet Hoshino, Hikaru
Irie, Yosuke
Furutani, Eiko
contents The profitability of solar energy self-consumption in households, the so-called photovoltaic (PV) self-consumption, is expected to boost the deployment of PV and battery storage systems. This paper develops a novel method for economic analysis of PV self-consumption using battery storage based on an extension of the Screening Curve Method (SCM). The SCM enables quick and intuitive estimation of the least-cost generation mix for a target load curve and has been used for generation planning for bulk power systems. In this paper, we generalize the framework of existing SCM to take into account the intermittent nature of renewable energy sources and apply it to the problem of optimal sizing of PV and battery storage systems for a household. Numerical studies are provided to verify the estimation accuracy of the proposed SCM and to illustrate its effectiveness in a sensitivity analysis, owing to its ability to show intuitive plots of cost curves for researchers or policy-makers to understand the reasons behind the optimization results.
format Preprint
id arxiv_https___arxiv_org_abs_2308_00244
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Screening Curve Method for Economic Analysis of Household Solar Energy Self-Consumption
Hoshino, Hikaru
Irie, Yosuke
Furutani, Eiko
Systems and Control
The profitability of solar energy self-consumption in households, the so-called photovoltaic (PV) self-consumption, is expected to boost the deployment of PV and battery storage systems. This paper develops a novel method for economic analysis of PV self-consumption using battery storage based on an extension of the Screening Curve Method (SCM). The SCM enables quick and intuitive estimation of the least-cost generation mix for a target load curve and has been used for generation planning for bulk power systems. In this paper, we generalize the framework of existing SCM to take into account the intermittent nature of renewable energy sources and apply it to the problem of optimal sizing of PV and battery storage systems for a household. Numerical studies are provided to verify the estimation accuracy of the proposed SCM and to illustrate its effectiveness in a sensitivity analysis, owing to its ability to show intuitive plots of cost curves for researchers or policy-makers to understand the reasons behind the optimization results.
title Screening Curve Method for Economic Analysis of Household Solar Energy Self-Consumption
topic Systems and Control
url https://arxiv.org/abs/2308.00244