Hybrid air-hydronic HVAC performance in a residential net-zero energy retrofit

Using Building Energy and Smart Thermostat Data to Evaluate Indoor Ultrafine Particle Source and Loss Processes in a Net-Zero Energy House

“…The ReNEWW House is located at Purdue University in West Lafayette, IN, U.S.A. The three-story detached home (266 m 2 total conditioned area) was built in 1928 and underwent a deep energy retrofit between 2014 and 2015, as described in detail elsewhere. ,,, The house was occupied by three adult residents during the campaign. The ReNEWW House is partitioned into a below-ground basement, which houses an air handling unit (AHU, Figure S2) and ERV (Figure S3); floor 1, which includes an open-concept kitchen equipped with all electrical appliances (Figure S4), including an electric induction cooktop, oven, toaster, microwave, and ductless range hood; and floor 2, which includes three bedrooms.…”

“…Smart buildings and NZEBs are commonly retrofitted with smart meters, current transducer (CT) sensors, smart thermostats, and BEMS for real time monitoring of building- and appliance-level energy consumption and use profiles. ,,,− Such sensing and data management systems offer exciting possibilities for evaluating how HVAC systems and electrical appliances impact indoor air quality. Several studies have used CT sensors and smart thermostats for evaluating HVAC system runtime (fractional on-time). ,,, However, a comprehensive framework for using building energy and smart device data to characterize indoor air pollutant dynamics in smart homes is lacking.…”

Exploring the Antecedents of Iranian College Students’ Residential Satisfaction using Structural Equation Modeling

“…The Student Housing Survey was composed of six domains as follows: (i) demographic and other characteristics of the respondents; (ii) evaluating physical environment (Nisbet & Zelenski, 2014; Oppewal et al., 2017); (iii) evaluating hygiene and health services (Nazarpour & Norouzian‐Maleki, 2021; Thomas et al., 2018); (iv) evaluating safety and security (Brandon et al., 2008; Kıvanç, 2016); (v) evaluating social relations (Coon et al., 2016; Johnson et al., 2016; Wu et al., 2019); and (vi) evaluating equipment and installations (Caskey & Groll, 2018; Ryu & Song, 2019). Under the “physical environment” and “hygiene and health services” domains, eight and five items, respectively, were designed to assess the students’ overall residential satisfaction.…”

“…Recent studies shed light on the profound influence of architectural criteria of student housing on mental health (Moore et al., 2019); this has a tie‐in with overall satisfaction. The factors influencing residential satisfaction can be categorized into five areas as follows: (a) nature relatedness (Dean et al., 2018; Hurly & Walker, 2019); (b) hygiene and health services (Thomas et al., 2018); (c) controllability and security (Novianto, Gao, Kuroki, & Fukahori, 2016; Wang, He, Webster, & Zhang, 2019); (d) social relation (Boschman, 2018); and (e) equipment and installations (Caskey & Groll, 2018; Ryu & Song, 2019), although some scholars classified the latter category of variables as facility factors.…”

Energy and thermal modelling of an office building to develop an artificial neural networks model

“…In the case of existing buildings, the most common renovation strategies are usually focused on envelope improvement (for instance, window replacement as suggested by Aste et al 4 , envelope insulation improvement as indicated by Terés-Zubiaga et al 5 and even the development of new materials as proposed by Chung et al 6 ). Other strategies are based on the renovation of Heating, Ventilation and Air Conditioning (HVAC) systems; either by improving existing equipment as proposed by Che et al 7 and Dascalaki et al 8 , or by integrating systems based on renewable energy sources as developed by Caskey et al 9 and Dipasquale et al 10 .…”