“…Smart buildings that incorporate Internet of Things (IoT)-enabled sensors and devices that are integrated with cloud-based building energy management systems (BEMS) can monitor HVAC systems and occupancy in real time, − providing a foundation for data-driven indoor air quality assessment and ventilation control. Smart building technology is becoming essential in the transition toward net-zero energy buildings (NZEBs), − which integrate intelligent management of energy-efficient HVAC systems, electrical appliances, and lighting with on-site energy production. , However, indoor air quality field investigations in smart buildings, NZEBs, and similarly designed high-performance/passive homes are limited. ,,− …”
The
integration of Internet of Things (IoT)-enabled sensors and
building energy management systems (BEMS) into smart buildings offers
a platform for real-time monitoring of myriad factors that shape indoor
air quality. This study explores the application of building energy
and smart thermostat data to evaluate indoor ultrafine particle dynamics
(UFP, diameter ≤ 100 nm). A new framework is developed whereby
a cloud-based BEMS and smart thermostats are integrated with real
time UFP sensing and a material balance model to characterize UFP
source and loss processes. The data-driven framework was evaluated
through a field campaign conducted in an occupied net-zero energy
buildingthe Purdue Retrofit Net-zero: Energy, Water, and Waste
(ReNEWW) House. Indoor UFP source events were identified through time-resolved
electrical kitchen appliance energy use profiles derived from BEMS
data. This enabled determination of kitchen appliance-resolved UFP
source rates and time-averaged concentrations and size distributions.
BEMS and smart thermostat data were used to identify the operational
mode and runtime profiles of the air handling unit and energy recovery
ventilator, from which UFP source and loss rates were estimated for
each mode. The framework demonstrates that equipment-level energy
use data can be used to understand how occupant activities and building
systems affect indoor air quality.
“…Smart buildings that incorporate Internet of Things (IoT)-enabled sensors and devices that are integrated with cloud-based building energy management systems (BEMS) can monitor HVAC systems and occupancy in real time, − providing a foundation for data-driven indoor air quality assessment and ventilation control. Smart building technology is becoming essential in the transition toward net-zero energy buildings (NZEBs), − which integrate intelligent management of energy-efficient HVAC systems, electrical appliances, and lighting with on-site energy production. , However, indoor air quality field investigations in smart buildings, NZEBs, and similarly designed high-performance/passive homes are limited. ,,− …”
The
integration of Internet of Things (IoT)-enabled sensors and
building energy management systems (BEMS) into smart buildings offers
a platform for real-time monitoring of myriad factors that shape indoor
air quality. This study explores the application of building energy
and smart thermostat data to evaluate indoor ultrafine particle dynamics
(UFP, diameter ≤ 100 nm). A new framework is developed whereby
a cloud-based BEMS and smart thermostats are integrated with real
time UFP sensing and a material balance model to characterize UFP
source and loss processes. The data-driven framework was evaluated
through a field campaign conducted in an occupied net-zero energy
buildingthe Purdue Retrofit Net-zero: Energy, Water, and Waste
(ReNEWW) House. Indoor UFP source events were identified through time-resolved
electrical kitchen appliance energy use profiles derived from BEMS
data. This enabled determination of kitchen appliance-resolved UFP
source rates and time-averaged concentrations and size distributions.
BEMS and smart thermostat data were used to identify the operational
mode and runtime profiles of the air handling unit and energy recovery
ventilator, from which UFP source and loss rates were estimated for
each mode. The framework demonstrates that equipment-level energy
use data can be used to understand how occupant activities and building
systems affect indoor air quality.
“…Some studies have focused on net-zero building design in hot and humid climates (Sudhakar et al, 2019) and there is evidence of experiences learned from 34 case study buildings for these climates (Feng et al, 2019). Concerning office buildings, one study simulated their performance in three different climates (Jung et al, 2018). References to oceanic or mild climate NZEB design and case study analyses are less common.…”
Section: Importance Of Climate Responsive Designmentioning
confidence: 99%
“…The Building Performance Institute Europe (BPIE) argues that the current approach, using primary energy factors (PEFs) is detrimental to understanding the real energy performance of a building (BPIE, 2017). Therefore, end-use energy has been taken as a reference for this case study, as it is a direct comparable real measurement unit that reflects the building energy performance and facilitates the possible later comparison to other similar case studies (Jung et al, 2018).…”
Section: End-use Energy and Primary Energymentioning
European energy policies introduced nearly zero energy building (NZEB) design to stimulate the energy transition in buildings, and EU programs promote the evolution towards positive energy buildings (PEB). Most studies into NZEBs are based on simulations, and not on real monitoring data.This paper presents the real performance data of the Zero building, an NZEB office building with Leed Gold and Breeam Excellent environmental design certifications located in a neighbourhood that shares a zero-emission district heating-cooling facility relying only on 100% renewable energy sources.The current performance of the building and its neighbourhood is assessed to identify the existing gap to reach the goals of next generation buildings, namely positive energy buildings (PEB), which will not consume fossil fuels and will achieve energy self-sufficiency at the neighbourhood scale.A study the occupied zero building in operation for one year showed that it achieved a degree of self-sufficiency of 74.3% for the operational electric energy thanks to its PV roof-façade. The results show that its carbon footprint is only 3.35 kgCO2/m 2 y, 92% lower than in a typical office building in locations with the same climate.
“…Also, Nguyen et al (2018) estimated the final and primary energy savings for different EEM in a multi-apartment building. Furthermore, Nusrat et al (2018) compared the energy performance of an office with three-model propositions in three climate zones in Europe. Equally, these studies test several efficiency measures to improve buildings performance.…”
Purpose
The purpose of this paper is to achieve the national strategic agenda’s criteria that aim for accomplishing sustainable buildings by estimating the effects of energy efficiency measures in order to reduce energy consumption and CO2 emission.
Design/methodology/approach
A design approach has been developed based on simulation software and a modeled building. Therefore, a typical office building is considered for testing five efficiency measures in three climatic conditions in Algeria. This approach is conducted in two phases: first, the analysis of each measure’s effect is independently carried out in terms of cooling energy and heating energy intensities. Then, a combination of optimal measures for each climate zone is measured in terms of three sustainable indicators: final energy consumption, energy cost saving and CO2 emission.
Findings
The results reveal that a combination of optimal measures has a substantial impact on building energy saving and CO2 emission. This saving can rise to 41 and 31 percent in a hot and cold climate, respectively. Furthermore, it is concluded that obtaining higher building performance, different design alternatives should be adapted to the climate proprieties and the local construction materials must be applied.
Originality/value
This study is considered as an opportunity for achieving the national strategy, as it may contribute in improving office building performance and demonstrating a suitable tool to assist stakeholders in the decision making of most important parameters in the design stage for new or retrofit buildings.
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