Optimal Design Model for a Residential PV Storage System an Application to the Spanish Case (original) (raw)
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The Journal of Engineering, 2019
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Energies
A solar photovoltaic system produces electricity by converting energy from the sun. By the end of 2016, the global installed solar photovoltaic capacity reached 305 GW. Its growth is impressive in the last years; in fact, it was only equal to 41 GW in 2010. However, Europe has installed only 6.9 GW in 2016 (−1.7 GW in comparison to previous year) and this annual power installed is equal to 9% of global one in according to data released by Solar Power Europe. The profitability of PV systems in mature markets depends on the harmonization between demanded energy and produced one residential energy storage when combined with photovoltaic panels is able to increase the share of self-consumption. This work proposes a mathematical model, in which a Discounted Cash Flow analysis is conducted to evaluate the financial feasibility of photovoltaic-integrated lead acid battery systems in Italy. The indicator used is Net Present Value. Furthermore, a break-even point analysis, in terms of an increase of self-consumption, is conducted. The residential sector is investigated and energy storage system investment is incentivized by fiscal deduction and regional subsidies. The analysis provides several case studies, determined by combinations of the following variables: photovoltaic plant size, battery capacity, the increase of the share of self-consumption, and the useful lifetime of energy storage system. The same case studies are proposed also in four alternative scenarios, where is the modified the structure of subsidies. Results confirm that the profitability can be reached in presence of subsidies.
Business case of optimization model for spanish grid connected photovoltaic battery household system
2017
Given*the*natural*advantage*in*abundant*and*reliable*solar*resources,*Spain*is* ideal*for*developing*renewable*energy*generation*with*photovoltaics.*Thanks*to* the* supportive* legislations,* advances* in* technologies* and* reduction* of* costs,* residential* electricity* consumers* are* increasingly* incentivized* to* actively* participate*in*managing*their*consumption*and*installing*distributed*generation* units.* Several* studies* have* suggested* that* battery* storage* coupled* with* solar* photovoltaics* (PV)* can* benefit* both* households* and* the* electricity* grid.* These* facts*call*for*a*model*to*help*households*determine*the*composition*of*their*grid; connected*photovoltaic*battery*system*based*on*the*specific*situations*in*Spain.** This* paper* proposes* an* optimization;based* mixed* integer* linear* programing* model*for*the*sizing*and*scheduling*of*residential*battery*storage*co;located*with* solar* PV* in* the* context* of* present* self;consumption* regulation* and* three* tariff* schemes*(the*2.0A,*the*2.0DHA,*and*a*newly*proposed*three;period*tariff).*The* objective* function* for* the* household* is* to* minimize* the* annualized* electricity* expenditure*while*satisfying*the*current*electricity*demand*and*constraints.*To* illustrate*the*model,*a*5;spaces*household*in*Sevilla*is*selected*as*an*example.* The*load*of*the*appliances*is*modelled*by*a*load*generation*model*with*statistical* data*of*appliances*and*time;of;use*information.*The*optimization*model*is*built* with*mixed*integer*linear*programming*(MILP)*method*in*GAMS.** Besides*the*business*as*usual*case,*100*scenarios*are*created*to*discover*the*best* combinations* when* PV/battery* prices* decrease* to* different* levels.* The* future* scenario*analysis*is*helpful*to*discover*future*uncertainties,*tipping*points,*and* better*regulatory*incentives.** The*results*of*the*paper*contribute*in*the*following*three*aspects:* Provide* guides* for* the* investment* decision* of* the* households* to* take* advantage*of*PV/batteries*to*minimize*the*expenditure.* Test*the*performance*of*the*tariff*schemes*and*test*the*soundness*of*the* future.* Provide*suggestions*for*the*regulators*on*designing*incentives.* Optimization*Model*for*Grid*Connected*Photovoltaic*Battery*System** * ;*ii*;* Acknowledgements* I* am* sincerely* grateful* to* my* supervisor* Dr.* Julian* Barquín* Gil* and* my* co; supervisor* Mr.* Javier* Olea* Arias* for* supervising* this* thesis* project* and* whose* expertise,*intelligence,*patience*and*encouragement*are*integral*contributors*of* this* work.* Julian* and* Javier* offered* me* the* priceless* opportunity* to* make* the* internship*in*ENDESA,*helped*me*collect*the*data*and*literatures,*and*provided* me*right*guidelines*while*at*the*same*time*offered*me*trust*and*space*for*my* own*research.*Besides,*I*shall*extend*my*thanks*to
Economic, Energy, and Environmental Analysis of PV with Battery Storage for Italian Households
Electronics, 2021
The use of renewable energy sources is one way to decarbonize current energy consumption. In this context, photovoltaic (PV) technology plays a direct fundamental role since it can convert sun irradiance into electricity to be used for supplying electric loads for households. Despite the huge availability of the solar resource, the intermittence of PV production may reduce its exploitation. This problem can be solved by the introduction of storage systems, such as batteries, storing electricity when PV overproduction occurs and acting as a source when PV generation is absent. Consequently, increase in self-sufficiency and self-consumption can be expected in residential end users, paving the way for more sustainable energy systems. In this paper, an economic, energy, and environmental analysis of PV systems (without and with batteries) for the household is performed for the whole of Italy, by means of a Geographical Information Systems (GIS) approach. A model to simulate energy balan...
Cornell University - arXiv, 2022
Incentive programs and ongoing reduction in costs are driving joint installation of solar PV panels and storage systems in residential households. There is a need for optimal investment decisions to reduce the electricity consumption costs of the households further. In this paper, we first develop analytical expression of storage investment decision and then of solar investment decision for a household which is under net metering billing mechanism with time of use pricing condition. Using real data of a residential household in Austin, TX, USA, we study how the investment decisions would provide benefit for a period of one year. Results show significant profit when using storage devices and solar panels optimally for the system. It is important to note that though our approach can help significantly to take investment decisions, the solution will still be sub-optimal for somebody who needs optimal investment jointly on both storage and solar systems.