journal article·2019-11-05Open access

Economic Optimization of the Energy Supply for a Logistics Center Considering Variable-Rate Energy Tariffs and Integration of Photovoltaics

Alex Ximenes Naves, Victor Tulus, Elaine Garrido Vazquez, Laureano Jiménez Esteller, Assed Naked Haddad, Dieter Boer

Applied Sciences· Volume 9· Issue 21

Abstract

The energy supplied by photovoltaic (PV) panels connected to the grid creates more flexibility for energy management; however, oversizing the PV system may result in an energy surplus, an essential factor to be considered during energy efficiency optimization. The economic analysis of energy supply systems for buildings and industry should include a detailed feasibility analysis and a life cycle perspective. Simulations were performed to quantify the potential savings when the excess of PV energy (surplus) is supposed to be exported to the grid by considering the net metering and net billing approaches. Our objective was to evaluate the electrical demand of a logistics center with pre-design modeling and simulation, and determine the adequate system configurations by considering the life cycle costing (LCC). We established a baseline and three alternative economic scenarios for optimization. Combining the use of TRNSYS 180 Simulation Studio and its optimization library component, GenOp (Generic Optimization Program), we simulated different options of grid energy contracts considering the variable tariffs and the integration with PVs. Based on the LCC, a single-objective optimization (SOO) process was performed. This approach allowed us to envisage possible configurations, reducing up to a quarter of annual grid energy consumption that represents savings of around 21% for the LCC in a timeframe of 20 years, reaching up to 39% when the export of the PV surplus energy is considered. The payback period of investments is below six years for the optimal scenarios.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Energy Efficiency and Management · Life Cycle Costing Analysis · Building Energy and Comfort Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Departamento de Engenharia Civil, Universidade Federal Fluminense, Rua Passo da Pátria 156, Niteroi 24210-240, Brazil

Departament d’Enginyeria Mecànica, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain

Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering—ETH, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland

Departament d’Enginyeria Química, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain

Departamento de Construção Civil, Escola Politécnica da Universidade Federal do Rio de Janeiro, Av. Athos da Silveira Ramos 149, 21941-909 Rio de Janeiro, Brazil

Funding

Ministerio de Economía, Industria y Competitividad, Gobierno de España · Coordenação de Aperfeiçoamento de Pessoal de Nível Superior · Generalitat de Catalunya

References (35)

Show source-provided references
1. (2019, April 05). Elsevier Scopus Scientific Database. Available online: https://www.scopus.com/home.uri.
2. Van Eck, N.J., and Waltman, L. (2019, April 05). VOSviewer - Visualizing Scientific Landscapes. Available online: http://www.vosviewer.com/.
3. Zadek, H., and Schulz, R. (2011). Sustainable logistics centers. Renew. Resour. Biotechnol. Mater. Appl., 141–146.
4. Built for efficiency
5. Integrated scheduling of renewable generation and electric vehicles parking lot in a smart microgrid10.1016/j.enconman.2014.06.044 ↗
6. Economic and environmental impacts of a PV powered workplace parking garage charging station10.1016/j.apenergy.2013.02.068 ↗
7. Rahmani-Andebili, M. (2016, January 26–27). Canopying plug-in electric vehicles parking lots with photovoltaic panels. Proceedings of the 2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC), Karaj, Iran.10.1109/EPDC.2016.7514774 ↗
8. Yang, H., and Yang, S.-H. (2009, January 3–5). Connectionless indoor inventory tracking in Zigbee RFID sensor network. Proceedings of the 2009 35th Annual Conference of IEEE Industrial Electronics, Porto, Portugal.10.1109/IECON.2009.5415262 ↗
9. DC-Level Dimmable LED Driver with Primary Side On-Time Control for DC Distribution10.1109/JESTPE.2015.2416979 ↗
10. Chang, Q.-S., Yang, S.-H., and Chou, D.-C. (2016, January 4–6). Simulation research of using PWM to control LED scenario energy-saving system - The case of large underground parking lot: Preparation of papers in two-column format for ISNE 2016. Proceedings of the 5th International Symposium on Next-Generation Electronics (ISNE), Hsinchu, Taiwan.10.1109/ISNE.2016.7543345 ↗
11. Cho, H.J., and Jeong, J.W. (2014, January 19–20). Impact of demand controlled ventilation on energy saving and indoor air quality enhancement in underground parking facilities. Proceedings of the 2014 Annual Congress on Advanced Engineering and Technology (CAET 2014), Hong Kong.
12. Dávi, G.A., de Asiain, J.L., Solano, J., Caamaño-Martín, E., and Bedoya, C. (2017). Energy Refurbishment of an Office Building with Hybrid Photovoltaic System and Demand-Side Management. Energies, 10.10.3390/en10081117 ↗
13. Market value of PV battery systems for autonomous rural energy ScienceDirect10.1016/j.egypro.2019.01.305 ↗
14. A model for an economic evaluation of energy systems using TRNSYS10.1016/j.apenergy.2018.02.045 ↗
15. Optimization of a building integrated solar thermal system with seasonal storage using TRNSYS10.1016/j.renene.2018.03.074 ↗
16. (2019, March 01). University of Wisconsin-Madison TRNSYS: Getting Started. Available online: https://sel.me.wisc.edu/trnsys/.
17. Wetter, M. (2011). Generic Optimization Program User Manual. Energy, 1998–2011.
18. Enhanced thermal energy supply via central solar heating plants with seasonal storage: A multi-objective optimization approach10.1016/j.apenergy.2016.08.037 ↗
19. (2019, March 01). Energy Plus Weather Data. Available online: https://energyplus.net/weather-location/europe_wmo_region_6/.
20. (2014). American Society for Testing and Materials ASTM E1185 Standard Guide for Selecting Economic Methods for Evaluating Investments in Buildings and Building Systems, ASTM.
21. (2015). American Society for Testing and Material ASTM E0917 Standard Practice for Measuring Life-Cycle Costs of Buildings and Building Systems, ASTM.
22. Life cycle costing as a bottom line for the life cycle sustainability assessment in the solar energy sector: A review10.1016/j.solener.2018.04.011 ↗
23. (2012). American Society for Testing and Materials ASTM E1121 Standard Practice for Measuring Payback for Investments in Buildings and Building Systems, ASTM.
24. Li, K., Pan, L., Xue, W., Jiang, H., and Mao, H. (2017). Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study. Energies, 10.10.3390/en10020245 ↗
25. A multi-objective optimization model for building retrofit strategies using TRNSYS simulations, GenOpt and MATLAB10.1016/j.buildenv.2012.04.005 ↗
26. (2019, May 04). NATA Accredited Laboratories Solar Inverters List. Available online: http://www.opti-solar.com/download/certification/inverters list 100818.pdf.
27. Photovoltaic self-consumption regulation in Spain: Profitability analysis and alternative regulation schemes10.1016/j.enpol.2017.06.019 ↗
28. (2019, October 01). Fraunhofer ISE Current and Future Cost of Photovoltaics: Long-term Scenarios for Market Development. Available online: https://www.ise.fraunhofer.de/content/dam/ise/de/documents/publications/studies/AgoraEnergiewende_Current_and_Future_Cost_of_PV_Feb2015_web.pdf.
29. (2019, October 01). Solar Power Europe Global Market Outlook: 2019-2023. Available online: http://www.solarpowereurope.org/wp-content/uploads/2019/05/SolarPower-Europe-Global-Market-Outlook-2019-2023.pdf.
30. Fu, R., Chung, D., Lowder, T., Feldman, D., Ardani, K., Fu, R., Chung, D., Lowder, T., Feldman, D., and Ardani, K. (2016). US Solar Photovoltaic System Cost Benchmark: Q1 2017, NREL Technical Report.10.2172/1326888 ↗
31. Photovoltaic Degradation Rates — An Analytical Review10.1002/pip.1182 ↗
32. (2019, May 04). SHARP Sharp PV Panel NU-U240F2. Available online: http://files.sharpusa.com/Downloads/Solar/Products/sol_dow_NUU240F2.pdf.
33. Outdoor performance of amorphous silicon and polycrystalline silicon PV modules10.1016/S0927-0248(97)00003-2 ↗
34. Improvement and validation of a model for photovoltaic array performance10.1016/j.solener.2005.06.010 ↗
35. (2019, March 01). SHARP Sharp3000 3kW Solar System Panel Specifications. Available online: https://www.originenergy.com.au/content/dam/origin/residential/docs/solar/legacy-models/Sharp3000_Panel_Specifications.pdf.