Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme

Rodolfo Gordillo-Orquera, Sergio Muñoz-Romero, Diego Arcos-Aviles, Rafael Chillón, Luis M. Lopez-Ramos, Antonio G. Marques and José Luis Rojo-Álvarez
Additional contact information
Rodolfo Gordillo-Orquera: WICOM Energy Research Group, Departamento de Electrica y Electronica, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171-5-231B, Ecuador
Sergio Muñoz-Romero: Department of Signal Theory and Communications, Rey Juan Carlos University, 28943 Fuenlabrada, Spain
Diego Arcos-Aviles: WICOM Energy Research Group, Departamento de Electrica y Electronica, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171-5-231B, Ecuador
Rafael Chillón: Hospital Universitario de Fuenlabrada, 28492 Fuenlabrada, Spain
Luis M. Lopez-Ramos: Department of Signal Theory and Communications, Rey Juan Carlos University, 28943 Fuenlabrada, Spain
Antonio G. Marques: Department of Signal Theory and Communications, Rey Juan Carlos University, 28943 Fuenlabrada, Spain
José Luis Rojo-Álvarez: Department of Signal Theory and Communications, Rey Juan Carlos University, 28943 Fuenlabrada, Spain

Energies, 2018, vol. 11, issue 6, 1-17

Abstract: Efficient energy management is strongly dependent on determining the adequate power contracts among the ones offered by different electricity suppliers. This topic takes special relevance in healthcare buildings, where noticeable amounts of energy are required to generate an adequate health environment for patients and staff. In this paper, a convex optimization method is scrutinized to give a straightforward analysis of the optimal power levels to be contracted while minimizing the electricity bill cost in a time-of-use pricing scheme. In addition, a sensitivity analysis is carried out on the constraints in the optimization problems, which are analyzed in terms of both their empirical distribution and their bootstrap-estimated statistical distributions to create a simple-to-use tool for this purpose, the so-called mosaic-distribution. The evaluation of the proposed method was carried out with five-year consumption data on two different kinds of healthcare buildings, a large one given by Hospital Universitario de Fuenlabrada, and a primary care center, Centro de Especialidades el Arroyo, both located at Fuenlabrada (Madrid, Spain). The analysis of the resulting optimization shows that the annual savings achieved vary moderately, ranging from −0.22 % to +27.39%, depending on the analyzed year profile and the healthcare building type. The analysis introducing mosaic-distribution to represent the sensitivity score also provides operative information to evaluate the convenience of implementing energy saving measures. All this information is useful for managers to determine the appropriate power levels for next year contract renewal and to consider whether to implement demand response mechanisms in healthcare buildings.

Keywords: demand side management; demand response; optimization; time-of-use; healthcare building; convex programming; sensitivity analysis; bootstrap resampling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/6/1454/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/6/1454/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:6:p:1454-:d:150691

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().