Environmental and financial multi-objective optimization: Hybrid wind-photovoltaic generation with battery energy storage systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F23%3A10465511" target="_blank" >RIV/00216208:11230/23:10465511 - isvavai.cz</a>

Alternative codes found

RIV/61384399:31110/23:00059382

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=XCm6m.aWI6" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=XCm6m.aWI6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.est.2023.107425" target="_blank" >10.1016/j.est.2023.107425</a>

Result language

angličtina

Original language name

Environmental and financial multi-objective optimization: Hybrid wind-photovoltaic generation with battery energy storage systems

Original language description

The present study proposes a multi-objective optimization method for wind and photovoltaic (PV) hybrid gen-eration with battery energy storage, considering a tariff policy issue for the grid-connected residential scenario. The proposed method used the Response Surface Methodology (RSM) to model two objective functions, one environmental (Carbon footprint) and the other financial (Net Present Value -NPV) in relation to four controllable variables. To perform the multi-objective optimization, the Normal-Boundary Intersection (NBI) was used to construct the Pareto frontier. Finally, the Levelized Cost of Energy (LCOE) criterion was used to select the best Pareto optimal point. The proposed model was applied in Brazilian cities from different geographic regions. The main results of the study indicated that only regions with favorable environmental conditions and higher energy tariffs became financially viable for the proposed model, with NPV values ranging from R$-76,080.94 to R$ 69,675.23. As for the Carbon footprint (emission of CO2eq), the values ranged from 8951.47 to 27,939.78 kgCO2/kWh, being strongly influenced by the adopted power generation technology. The use of LCOE to select the best solution provided a metric for the cost of implementing a technology, whose values ranged from 1.093 to 1.981 R$/kWh. It is still not advantageous to opt for the use of batteries for later use at peak hours, even when the tariff modality selected was the white tariff; and energy storage systems that could enable the imple-mentation of this policy proved to be economically unfeasible. In the current Brazilian legislation, the services and benefits generated by energy storage are not remunerated, which penalizes the investment in this type of technology. As proved, solar PV technology, despite being cheaper, was penalized by a greater need for storage capacity, which led to optimal configurations with greater participation of wind generation. This indicates the need for incentives mainly related to wind energy and batteries, which are still expensive elements in the na-tional scenario for a residential generation, reducing the probability of achieving economic viability.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50201 - Economic Theory

Project

<a href="/en/project/GX19-26812X" target="_blank" >GX19-26812X: Frontiers in Energy Efficiency Economics and Modelling - FE3M</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Energy Storage

ISSN

2352-152X

e-ISSN

2352-1538

Volume of the periodical

66

Issue of the periodical within the volume

August

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

16

Pages from-to

107425

UT code for WoS article

000995875300001

EID of the result in the Scopus database

2-s2.0-85152962061