Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme

Publication Date:
2018-06-06
Publisher:
MDPI Publishing
Electronic ISSN:
1996-1073
Topics:
Energy, Environment Protection, Nuclear Power Engineering
Published by:
http://www.mdpi.com/
_version_ 1836398961066246144
autor Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
beschreibung Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme Energies doi: 10.3390/en11061454 Authors: Rodolfo Gordillo-Orquera Sergio Muñoz-Romero Diego Arcos-Aviles Rafael Chillón Luis M. Lopez-Ramos Antonio G. Marques José Luis Rojo-Álvarez 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.
citation_standardnr 6276938
datenlieferant ipn_articles
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feed_publisher MDPI Publishing
feed_publisher_url http://www.mdpi.com/
insertion_date 2018-06-06
journaleissn 1996-1073
publikationsjahr_anzeige 2018
publikationsjahr_facette 2018
publikationsjahr_intervall 7984:2015-2019
publikationsjahr_sort 2018
publisher MDPI Publishing
quelle Energies
relation http://www.mdpi.com/1996-1073/11/6/1454
search_space articles
shingle_author_1 Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
shingle_author_2 Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
shingle_author_3 Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
shingle_author_4 Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
shingle_catch_all_1 Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme Energies doi: 10.3390/en11061454 Authors: Rodolfo Gordillo-Orquera Sergio Muñoz-Romero Diego Arcos-Aviles Rafael Chillón Luis M. Lopez-Ramos Antonio G. Marques José Luis Rojo-Álvarez 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.
Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
MDPI Publishing
1996-1073
19961073
shingle_catch_all_2 Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme Energies doi: 10.3390/en11061454 Authors: Rodolfo Gordillo-Orquera Sergio Muñoz-Romero Diego Arcos-Aviles Rafael Chillón Luis M. Lopez-Ramos Antonio G. Marques José Luis Rojo-Álvarez 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.
Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
MDPI Publishing
1996-1073
19961073
shingle_catch_all_3 Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme Energies doi: 10.3390/en11061454 Authors: Rodolfo Gordillo-Orquera Sergio Muñoz-Romero Diego Arcos-Aviles Rafael Chillón Luis M. Lopez-Ramos Antonio G. Marques José Luis Rojo-Álvarez 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.
Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
MDPI Publishing
1996-1073
19961073
shingle_catch_all_4 Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme Energies doi: 10.3390/en11061454 Authors: Rodolfo Gordillo-Orquera Sergio Muñoz-Romero Diego Arcos-Aviles Rafael Chillón Luis M. Lopez-Ramos Antonio G. Marques José Luis Rojo-Álvarez 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.
Rodolfo Gordillo-Orquera; Sergio Muñoz-Romero; Diego Arcos-Aviles; Rafael Chillón; Luis M. Lopez-Ramos; Antonio G. Marques; José Luis Rojo-Álvarez
MDPI Publishing
1996-1073
19961073
shingle_title_1 Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
shingle_title_2 Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
shingle_title_3 Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
shingle_title_4 Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
timestamp 2025-06-30T23:35:23.755Z
titel Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
titel_suche Energies, Vol. 11, Pages 1454: Convex Programming and Bootstrap Sensitivity for Optimized Electricity Bill in Healthcare Buildings under a Time-Of-Use Pricing Scheme
topic ZP
uid ipn_articles_6276938