Assessing the energy recovery potential at district metered areas inlets of water supply systems: A Spanish case study

  1. Fernández-Guillamón, Ana 1
  2. de la Cruz, Francisco Javier Pérez 1
  3. Valverde-Pérez, Borja
  4. Martínez-Solano, Pedro D.
  5. Vigueras-Rodriguez, Antonio 1
  1. 1 Universidad Politécnica de Cartagena
    info

    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

Aldizkaria:
Journal of Environmental Management

ISSN: 0301-4797

Argitalpen urtea: 2023

Alea: 347

Orrialdeak: 119229

Mota: Artikulua

DOI: 10.1016/J.JENVMAN.2023.119229 GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: Journal of Environmental Management

Laburpena

The energy required for various processes in the water cycle can have significant economic and environmental impacts. Therefore, efficient energy management in urban water supply systems is crucial for a sustainable operation. By installing energy recovery technologies in these facilities, it is possible to reap the benefits of the infrastructure design by saving energy. In this study, a new methodology to assess the energy recovery at the inlets of district metered areas is presented, considering the city of Murcia (Spain) as case study. This methodology is based on creating a detailed model of city water supply system and calibrating such model with an experimental campaign of measurements. Then, the assessment of the hydraulic potential recovery is analysed through two different energy estimators, one considering the minimum available net head and the other assuming a variable net head. Results show that there are several points where turbines could be installed, most of them recovering in between kW h, which could be used to cover the yearly energy consumption of about m2 of a school or traffic lights of such area. Moreover, in some points it could be recovered up to 14500 kW h. Even though these values are not high, the energy recovered could be used for self-consumption of nearby electrical loads, at the time that reduces the pressure in the system, thus leading to leak reductions. Moreover, this kind of energy recovery does not reduce the potential of other proposals for upstream energy recovery, such as replacing pressure reduction valves with turbines instead. The scripts developed to apply the proposed methodology are available in EPANET-Octave file exchange for the researcher community.

Erreferentzia bibliografikoak

  • AEAS, (2020)
  • Agencia Local de Energía y Cambio Climático de Murcia, (2013)
  • Ahmadi, (2020), Renew. Energy, 162, pp. 1347, 10.1016/j.renene.2020.08.059
  • Carravetta, (2020), pp. 229
  • Carravetta, (2012), Water Resour. Manag., 26, pp. 3947, 10.1007/s11269-012-0114-1
  • Carravetta, (2013), Energies, 6, pp. 411, 10.3390/en6010411
  • Carravetta, (2014), Procedia Eng., 70, pp. 275, 10.1016/j.proeng.2014.02.031
  • Cheng, (2023), Fuel, 335, 10.1016/j.fuel.2022.126988
  • Cheng, (2022), Fuel, 323, 10.1016/j.fuel.2022.124388
  • Copeland, (2017)
  • Corcoran, (2016), J. Water Resour. Plan. Manag., 142, 10.1061/(ASCE)WR.1943-5452.0000566
  • Dursun, (2016), pp. 11
  • Eaton, (2020)
  • Fecarotta, (2015), Water Resour. Manag., 29, pp. 699, 10.1007/s11269-014-0836-3
  • Ferrarese, (2022), Water Resour. Manag., 36, pp. 2639, 10.1007/s11269-022-03166-5
  • Hickman, (2017), Renew. Energy, 108, pp. 220, 10.1016/j.renene.2017.02.063
  • Instituto Nacional de Estadística, (2022)
  • Kucukali, (2010), Renew. Energy, 35, pp. 2001, 10.1016/j.renene.2010.01.032
  • Lima, (2017), Renew. Energy, 109, pp. 392, 10.1016/j.renene.2017.03.056
  • López Jiménez, (2022)
  • Lydon, (2017), Renew. Energy, 114, pp. 1038, 10.1016/j.renene.2017.07.120
  • Madsen, (2004)
  • McNabola, (2013), Water Policy, 16, pp. 168, 10.2166/wp.2013.164
  • Mudholkar, (1997), Comm. Statist. Theory Methods, 26, pp. 1623, 10.1080/03610929708832005
  • Pérez-Sánchez, (2020), Water, 12, 10.3390/w12020468
  • Pugliese, (2018), J. Hydraul. Res., 56, pp. 482, 10.1080/00221686.2017.1399932
  • Puleo, (2013), J. Hydroinform., 16, pp. 259, 10.2166/hydro.2013.200
  • QGIS Development Team, (2023)
  • Ramos, (1999), Urban Water, 1, pp. 261, 10.1016/S1462-0758(00)00016-9
  • Ramos, (2010), Water Supply, 10, pp. 39, 10.2166/ws.2010.720
  • Rodríguez, (2021), Water Resour. Manag., 35, pp. 1977, 10.1007/s11269-021-02824-4
  • Rossman, L.A., 1999. The EPANET programmer’s toolkit for analysis of water distribution systems. In: WRPMD’99: Preparing for the 21st Century. pp. 1–10.
  • Rossman, (2020)
  • Signoreti, (2016), J. Phys. Conf. Ser., 738
  • Simão, (2019), Energies, 12, 10.3390/en12050901
  • USEPA, (2010)
  • Vieira, (2008), Energy Policy, 36, pp. 4142, 10.1016/j.enpol.2008.07.040
  • Vigueras-Rodriguez, (2023)
  • Xu, (2020), Comput. Ind. Eng., 142, 10.1016/j.cie.2020.106373