Tactics for carbon neutral office buildings in Hong Kong

Yu, F.W.; Ho, W.T.

doi:10.1016/j.jclepro.2021.129369

Cited by 23 publications

(7 citation statements)

References 45 publications

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“…where, P elc,n,t is the power consumption of the nth refrigeration unit at time t, P ec,n is the rated cooling power of the nth refrigeration unit; γ is the performance coefficient of the refrigeration unit. (3) Constraints for cold storage , ∀t…”

Section: Constraints Conditionsmentioning

confidence: 99%

“…Meanwhile, new energy sources have become a major force in the future energy transition and an important part of carbon substitution in achieving the carbon neutrality goal [1,2]. In responding to the national goal of "double carbon", increasing the utilization of renewable energy and the penetration of renewable energy in buildings has become an important direction for energy development [3,4]. Renewable energy is a key component of the energy production of net-zero energy buildings.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Control of Energy Systems in Net-Zero Energy Buildings Considering Dynamic Costs: A Case Study of Zero Carbon Building in Hong Kong

Zhou

et al. 2022

Sustainability

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Net-zero energy buildings coupled with multiple energy demands on the load side, which utilize renewable energy to a larger extent, are an effective way to consume distributed capacity in situ and need to face the operational challenges brought by the uncertainty of renewable energy while meeting different energy demands. To this end, this paper proposes a Dynamic Cost Interaction Optimization Model (DCI-OM) with Electric Vehicle Charging Station (EVCS) based on dynamic cost (i.e., oil price, electricity price) and considers a larger proportion of renewable energy capacity to be consumed. In this model, the optimized electricity and cooling demand dispatch scheme is given with daily operating cost as the objective function. Using the Zero Carbon Building in Hong Kong, China, as an example, simulations are performed for typical days (i.e., 21 March, 21 June, 22 September, and 21 December) in four seasons throughout the year. The results show that the electric and cooling load demand response scheme given by DCI-OM achieves peak and valley reduction according to the dynamic cost and reduces the original operating costs while ensuring that the customer’s comfort needs are within acceptable limits. The optimized scheduling scheme meets the demand while reducing the daily operating cost.

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Section: Constraints Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Control of Energy Systems in Net-Zero Energy Buildings Considering Dynamic Costs: A Case Study of Zero Carbon Building in Hong Kong

Zhou

et al. 2022

Sustainability

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“…The emission of large amounts of greenhouse gases, mostly CO 2 as a result of world industrialization and the excessive use of non-renewable energy sources, has led to global climate change and serious environmental problems [1]. It is necessary to achieve carbon neutrality, which refers to balancing the emission and removal of CO 2 , to mitigate the global warming trend [2]. Notably, buildings consume a lot of energy and contribute to about one-third of global CO 2 emissions [3].…”

Section: Introductionmentioning

confidence: 99%

Soft-Sensor Modeling of Temperature Variation in a Room under Cooling Conditions

Sakurai

Sato

et al. 2023

Energies

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Non-uniform temperature distributions in air-conditioned areas can reduce the energy efficiency of air conditioners and cause uncomfortable thermal sensations for occupants. Furthermore, it is impractical to use physical sensors to measure the local temperature at every position. This study developed a soft-sensing model that integrates the fundamentals of thermodynamics and transport phenomena to predict the temperature at the target position in space. Water experiments were conducted to simulate indoor conditions in an air-conditioning cooling mode. The transient temperatures of various positions were measured for model training and validation. The velocity vectors of water flow were acquired using the particle image velocimetry method. Correlation analysis of various positions was conducted to select the input variable. The soft-sensing model was developed using the multiple linear regression method. The model for the top layer was modified by the correction of dead time. The experimental results showed the temperature inhomogeneity between different layers. The temperature at each target position under two initial temperatures and two flow rates was accurately predicted with a mean absolute error within 0.69 K. Moreover, the temperature under different flow rates can be predicted with one model. Therefore, this soft-sensing model has the potential to be integrated into air-conditioning systems.

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“…To achieve carbon neutrality by the year 2050, carbon emissions in the building sectors should be reduced substantially. 1,2 However, heating and cooling of buildings produced nearly onethird of anthropogenic carbon emissions. 3 Therefore, energyefficient approaches should be performed to achieve substantial energy savings for buildings.…”

Section: ■ Introductionmentioning

confidence: 99%

“…To achieve carbon neutrality by the year 2050, carbon emissions in the building sectors should be reduced substantially. , However, heating and cooling of buildings produced nearly one-third of anthropogenic carbon emissions . Therefore, energy-efficient approaches should be performed to achieve substantial energy savings for buildings. − However, due to the weak solar blocking performance, window has been regarded as a weak element with regard to insulation in hot areas. − Thus, it is important to develop thermally efficient glazing materials. , …”

Section: Introductionmentioning

confidence: 99%

Expanding the Spectral Tunability of TiO₂ Nanocrystals by Codoping with Fluorine and Tungsten for Energy-Efficient Windows

Zhou

Gao

2022

ACS Sustainable Chem. Eng.

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Exploitation of new solar blocking materials is crucial for low-carbon architectures. F–W codoped TiO2 with superior solar screening performance was prepared. The effects of codoping and reaction temperature on the composition and infrared screening performances of TiO2 nanoparticles were studied. Codoping with W and F produced spindle-shaped anatase TiO2 with a particle size of 7.7 nm. Tungsten substituted for titanium and fluorine substituted for oxygen in the lattices. XPS and EPR analyses verified the existence of abundant Ti3+ ions in the codoped TiO2. It was observed that the codoped TiO2 showed the strongest infrared blocking activity in comparison to the F-doped and undoped TiO2. The NIR screening efficiency of the coatings reaches 70.1% after codoping with 20% of tungsten and 30% of fluorine. Briefly, the enhanced NIR blockage activity of codoped TiO2 was the synergistic effect of F and W. The codoping of F and W increased the electron concentration in TiO2 and enhanced the NIR plasmonic absorption. Furthermore, the F–W codoped TiO2 films reduced the indoor temperature of the simulated house by 9.9 °C. Thus, the F–W codoped TiO2 films have potential applications in the field of energy-saving glazing.

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Tactics for carbon neutral office buildings in Hong Kong

Cited by 23 publications

References 45 publications

Optimal Control of Energy Systems in Net-Zero Energy Buildings Considering Dynamic Costs: A Case Study of Zero Carbon Building in Hong Kong

Optimal Control of Energy Systems in Net-Zero Energy Buildings Considering Dynamic Costs: A Case Study of Zero Carbon Building in Hong Kong

Soft-Sensor Modeling of Temperature Variation in a Room under Cooling Conditions

Expanding the Spectral Tunability of TiO₂ Nanocrystals by Codoping with Fluorine and Tungsten for Energy-Efficient Windows

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Tactics for carbon neutral office buildings in Hong Kong

Cited by 23 publications

References 45 publications

Optimal Control of Energy Systems in Net-Zero Energy Buildings Considering Dynamic Costs: A Case Study of Zero Carbon Building in Hong Kong

Optimal Control of Energy Systems in Net-Zero Energy Buildings Considering Dynamic Costs: A Case Study of Zero Carbon Building in Hong Kong

Soft-Sensor Modeling of Temperature Variation in a Room under Cooling Conditions

Expanding the Spectral Tunability of TiO2 Nanocrystals by Codoping with Fluorine and Tungsten for Energy-Efficient Windows

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Product

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About

Expanding the Spectral Tunability of TiO₂ Nanocrystals by Codoping with Fluorine and Tungsten for Energy-Efficient Windows