Practical Implementation of Hydrogen in Buildings: An Integration Model Based on Flowcharts and a Variable Matrix for Decision-Making
Abstract
:1. Introduction
2. Methods—Classification of Knowledge
2.1. Building Engineering Requirements
- The first phase is related to design viability. This is the phase when the technical material aspects of the system, including components, connections, spatial requirements, and controls, are determined. The objective is to optimize and customize the system.
- The second phase is related to construction viability. In this phase, the space is materialized, including determining location, scale, dimensions, operations, and requirements.
- The final phase concerns the maintenance viability of the building services. This is a delicate phase for the building owners, as the more innovative the systems, the more uncertainties they raise regarding their performance, reliability, and costs. This phase encompasses the work to be carried out, including startup, shutdown, and response times, as well as the periodic repair and replacement of components.
2.2. Stakeholders’ Requirements
3. Flowchart and Matrix of Variables
4. Discussion
- Implementation of detachable materials and connections. Same metric and material.
- Definition of the system for storage and determinate production. Permanent H2 production and FC work scheduled only on Saturdays.
- Create a communication protocol. Connect to the general control system.
- Establish the role of the system on electrical consumption. The system covers the electrical needs on Saturdays.
- Invest in an automation system. Design a complete automation system.
- Design of failure option. Establish a series of alarms.
- Provision for possible future scaling. Ensure the adaptability of the equipment to meet larger requirements.
- Location of the system—consider placement outside the building.
- Integration of PV elements into the building envelope.
- Prioritize H2 production.
- Determine ventilation flow. Design window and fans.
- Provision of space for workers.
- Implement a monitoring system. Design a local visor of the systems.
- Training for employees.
- Determination of safe parameters. Investigate the safe operational range.
- Assess use and maintenance needs. Cleaning and control.
- Design alarms to ensure optimum performance.
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
ATEX | Equipment for potentially explosive atmospheres |
CHHP | Combined heat, hydrogen, and power |
CHP | Combined heat and power |
CO2 | Carbon Dioxide |
DDPG | Deep Deterministic Policy Gradient |
FC | Fuel Cell |
GBRS/GNRS | Green building/neighborhood rating systems |
GHG | Greenhouse gas |
H2 | Hydrogen |
IEA | International Energy Agency |
kW | Kilowatts |
MCDMP | Multi-Criteria Decision-Making Problems |
PEMFC | Proton-exchange membrane fuel cells |
PV | Photovoltaic |
t | Tone |
Appendix A
Appendix A.1
Reference | Technology | Data/Method | Design | Construction | Maintenance |
---|---|---|---|---|---|
Holappa, 2020 [44] | Carbon capture and storage (CCS) | assessed levels achievable | Materials | - | |
Zhu et al., 2020 [35] | - | nine different criteria | Infrastructure | Location | - |
Desportes et al., 2021 [31] | PV, battery and H2 batteries | DDPG αep Algorithm to Learn the Policy | Performance | - | - |
AlHashmi et al., 2021 [41] | Battery and H2 storage | TOPSIS method | Energy economy | - | |
Han et al., 2009 [33] | FCs | combined heat and power (CHP) and combined heat, hydrogen, and power (CHHP) | Efficiency | - | - |
Boretti 2024 [22] | Renewables | GHG | Integration | - | |
Li et al., 2021 [36] | Combined cooling, heat and power (CCHP) system | life cycle cost | Work mode | Cost comparison | |
Zhang et al., 2022 [34] | Biomass and public grid | polygeneration system | Work mode | - | - |
Madurai Elavarasan et al., 2022 [32] | Renewables | digitalization | Strategies | - | |
Sung et al., 2011 [66] | PV and FCs | integrated energy-saving system | Integration | Location | - |
Apostoleris et al., 2021 [67] | Application-oriented concentrator PV | CPV “Toolbox” | PV tracking | - | - |
Zhang et al., 2022 [37] | PV, wind energy | green building/neighborhood rating systems (GBRSs/GNRS) | Energy storage | ||
Cherrad, 2019 [68] | Gas-cooled reactors | adsorbed mass of hydrogen, Bernuilli and flow loss | Work mode |
Appendix A.2
Reference | Technology | Program (s) | Design | Construction | Maintenance |
---|---|---|---|---|---|
Murray et al., 2018 [38] | Battery, thermal storage and H2 storage | CESAR (no info at the article) | Work mode | Equipment, storage | |
Marino et al., 2013 [45] | PV, wind power, electrolyzer and FCs | POVSOL https://valentin-software.com/produkte/pvsol-premium/ (accessed on 3 June 2020). | Work mode, efficiency | Economic cost | |
Hedström et al., 2004 [40] | FC system, PV, FC array, electrolyzer, biogas burner, and storage tank | MATLAB Simulink | Equipment and location | Fuel cost | |
Marino et al., 2012 [39] | PV, H2 storage and FCs | POVSOL Expert, Valentine Energy Software, Berlin, 2012 | Equipment | Sustainability and economic cost | |
Kuwahara et al., 2022 [46] | Geothermal and solar | BEST Building Energy Simulation Tool (BEST). Available online: https://www.ibec.or.jp/best/ (accessed on 3 June 2020). | Equipment | ||
Roberts et al., 2017 [53] | Pumped H2 storage | HOMER Computer software. Vers. Legacy. N.p., n.d. https://www.homerenergy.com/ (accessed on 3 June 2020). | Work mode | Economic cost | |
Bartolucci et al., 2021 [50] | PV, proton exchange membrane (PEM), electrolyzer, and heat pump | MILP (Mixed Integer Linear Programming) | Equipment | Efficiency | |
Joshua et al., 2024 [69] | PV, electrolyzer | MATLAB Simulink | Work mode | Scalability | |
Dong et al., 2022 [43] | PV, solar thermal collectors, wind power, electrolyzer, tank, FC CHP, absorption chiller | ILOG CPLEX MATLAB | Hydrogen cost | ||
Fan Hong et al., 2023 [70] | PV, wind, battery, and FCs | MATLAB (no info at the article) | Work mode | ||
Calise et al., 2017 [42] | FCs, PV thermal collector, electrolyzer, and single-stage lithium bromide (LiBr/ H2O) | TRNSYS Solar energy laboratory, TRNSYS. A transient system simulation program University of Wisconsin, Madison (2006) | Equipment | Pay-back | |
He et al., 2021 [49] | FCs | TRNSYS 18 and Python | Work mode | - | FC degradation |
Pedamallu et al., 2016 [71] | PV, wind power, batteries | BUENAS (Bottom-Up Energy Analysis System) | Equipment | ||
Lamagna et al., 2021 [52] | PV and storage | MATLAB ConfigDym built by Sylfen | Integration | Economic cost | |
He et al., 2021 [48] | PV, H2 vehicles, H2 stations and H2 pipelines | TRNSYS 18 | Management | ||
Liu et al., 2022 [51] | Energy communities integrated with H2 vehicles and battery vehicles | TRNSYS 18 | Work mode |
Appendix A.3
Reference | Technology | Location | Design | Construction | Maintenance |
---|---|---|---|---|---|
Hedström et al., 2004 [40] | FC, PV, electrolyzer, H2 storage, biogas, heat exchangers and accumulator tank | GlashusETT, Stockholm Sweden | Equipment and location | Fuel cost | |
Marino et al., 2012 [39] | PV, H2 storage and FCs | ARPACAL Reggio Calabria | Equipment | Sustainability and economic cost | |
Marino et al., 2013 [45] | PV, wind power, electrolyzer, and FCs | ARPACAL Reggio Calabria | Work mode, efficiency | Economic cost | |
Masi et al., 2024 [29] | PV and FCs | Benevento | Equipment | ||
Kuwahara et al., 2022 [46] | Geothermal and solar for heating and air conditioningf | Ibaraki Prefecture, Japan | Equipment | ||
Aki et al., 2012 [54] | FCs and accumulator tank | Osaka | System | Equipment | |
Roberts et al., 2017 [53] | Pumped H2 storage | Lake Sammamish, WA, | Work mode | Economic cost | |
He et al., 2021 [49] | FCs, H2 cars. | House in San Francisco | Work mode | FC degradation | |
Widera, 2019 [23] | Wind power and electrolyzer | Utsira and Orkney archipelago | Equipment and location | Technical issues | |
Lamagna et al., 2021 [52] | PV and storage | Procida Naples | Integration | Economic cost |
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Dorregaray-Oyaregui, S.; Martín-Gómez, C.; Zuazua-Ros, A.; Aguado, M. Practical Implementation of Hydrogen in Buildings: An Integration Model Based on Flowcharts and a Variable Matrix for Decision-Making. Energies 2025, 18, 2546. https://doi.org/10.3390/en18102546
Dorregaray-Oyaregui S, Martín-Gómez C, Zuazua-Ros A, Aguado M. Practical Implementation of Hydrogen in Buildings: An Integration Model Based on Flowcharts and a Variable Matrix for Decision-Making. Energies. 2025; 18(10):2546. https://doi.org/10.3390/en18102546
Chicago/Turabian StyleDorregaray-Oyaregui, Sara, César Martín-Gómez, Amaia Zuazua-Ros, and Mónica Aguado. 2025. "Practical Implementation of Hydrogen in Buildings: An Integration Model Based on Flowcharts and a Variable Matrix for Decision-Making" Energies 18, no. 10: 2546. https://doi.org/10.3390/en18102546
APA StyleDorregaray-Oyaregui, S., Martín-Gómez, C., Zuazua-Ros, A., & Aguado, M. (2025). Practical Implementation of Hydrogen in Buildings: An Integration Model Based on Flowcharts and a Variable Matrix for Decision-Making. Energies, 18(10), 2546. https://doi.org/10.3390/en18102546