2021 LACCEI - Virtual Edition
Permanent URI for this collectionhttp://axces.info/handle/10.18687/49
“Prospective and trends in technology and skills for sustainable social development”. “Leveraging emerging technologies to construct the future”. Virtual Edition. July 19 – 23, 2021
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Item Incidence of load profiles in the Levelized Cost of Electricity for a wind power generation system located in Lambayeque-Perú.(LACCEI Inc., 2021-07) Nahui-Ortiz, Johnny; Aguinaga, Amado; Dávila, Fredy; Méndez, OscarIn this research work, a comparative cost analysis of electricity produced by a renewable energy system is carried out considering two reference electric load profiles. A 165.4-kWh daily electric load is established on the basis of a community-type profile, with a 20.5-kW peak load and a load factor of 0.34. Using simulation built-in features from HOMER Pro, optimum sizing for both a load profile driven by night time energy demand and a load profile driven by day time energy demand is carried out. A proposed wind power generation system, for a load driven by night time energy demand, consists of a 168-kW wind power generation system, an 820-kWh storage capacity, and a 90.2-kW DC-AC converter. Also, a proposed wind power generation system, for a load driven by day time energy demand, consists of the same component configuration. A levelized cost of electricity (LCOE) approach is used for comparison purposes. Also, net present cost (NPC) is calculated for the proposed energy supply alternatives. It is concluded that for comparative cost analysis key aspects, such electric load profile and its correlation with wind speed availability on hourly basis, may not play a significant role for this particular case. Also, gathering local measured data as opposed to using reference databases could further contribute to optimize sizing of wind power generation systemsItem Sistematization of an Ecoefficiency Model Applied to a University Campus(LACCEI Inc., 2021-07) Nahui-Ortiz, Johnny; Mendoza, Alejandro; Sotelo, Freedy; Aguinaga, Amado; Dávila, Fredy; Méndez, OscarAccording to recent regulations, public organizations are encouraged to report current levels of supplies consumption including fuels, water, electricity, paper and others. Nevertheless, one of the key barriers for increasing adoption of ecoefficiency and cleaner production programs is the lack of successful studies among local organizations. In the light of the above concern, systematization of best practices and most common retrofits could help accelerate the pace of implementing further concrete actions. The methodology that was carried out for the present work focuses on ecoefficiency in the public sector, local guidelines for ecoefficiency, most frequent ecoefficiency measures, and systematization for decision making purposes There are several ecoefficiency measures that have been frequently recommended for electricity, fuel, water, and office supply consumption optimization. A model is proposed in order capture interactions among ecoefficiency strategies, resources optimization, and feasibility for decision making purposes. It is concluded that an organization might be interested in implementing a recommended ecoefficiency strategy (best practice, retrofit, innovation) in order to achieve resource optimization (electricity, fuels, water, and office supplies) but feasibility will depend on several considerations (economic benefit, cost implementation, and payback period) for decision making purposes.Item Incidence of load profiles in the Levelized Cost of Electricity for a solar-PV generation system located in Lambayeque-Perú.(LACCEI Inc., 2021-07) Nahui-Ortiz, Johnny; Aguinaga, Amado; Dávila, Fredy; Méndez, OscarIn this research work, a comparative cost analysis of electricity produced by a renewable energy system is carried out considering two reference electric load profiles. A 165.4-kWh daily electric load is established on the basis of a community-type profile, with a 20.5-kW peak load and a load factor of 0.34. Using simulation built-in features from HOMER Pro, optimum sizing for both a load profile driven by night time energy demand and a load profile driven by day time energy demand is carried out. A proposed solar-PV generation system, for a load driven by night time energy demand, consists of an 81.5-kW solar PV generation system, a 657-kWh storage capacity, and a 44.87-kW DC-AC converter. On the other hand, a proposed solar-PV generation system, for a load driven by day time energy demand, consists of a 103-kW solar PV generation system, a 443-kWh storage capacity, and a 29.2-kW DC-AC converter. A levelized cost of electricity (LCOE) approach is used for comparison purposes. Also, net present cost (NPC) is calculated for the proposed energy supply alternatives. It is concluded that for comparative cost analysis key aspects, such electric load profile and its correlation with solar radiation availability on hourly basis, play a significant role. Also, Demand-Side Management and End-Use Energy Efficiency would further contribute to optimize sizing of solar-PV generation systems.