Evidence map›Paper›PMID 32834419›Full record

ArticleBuilding and environment2020

Integrated analysis of energy, indoor environment, and occupant satisfaction in green buildings using real-time monitoring data and on-site investigation.

Lizhen Wang, Donglin Zheng

Abstract read
In one paragraph

Article in Building and environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lizhen WangShanghai Research Institute of Building Sciences, Shanghai, 201108, China.
Donglin ZhengSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, a growing literature pay attention to the green buildings, and most of them focuses on design, energy simulation, and post-occupancy evaluation but rarely involves the integration analysis of energy consumption, indoor environmental quality, and occupant satisfaction in the operational stage. In this paper, the authors propose a comprehensive quantitative study based on energy-environment-satisfaction (EES) and take a three-star green building in Shanghai as an example. Through the use of real-time monitoring data, the study analyses the distribution characteristics of the parameters of EES. Meanwhile, this study discusses the differences between operational energy consumption and design parameters and also quantifies the exponential relationship between per floor personnel density and building energy consumption. Moreover, combined with the user satisfaction survey, some improvements are suggested. Furthermore, the relationship between daily energy consumption and the environmental parameters of daily energy consumption, PM2.5, CO

Indexed as

Energy consumptionGreen buildingIndoor environmental qualityIntegrated analysisMultiple linear regressionOccupant satisfaction

Identifiers

PMID32834419
PMCPMC7377739

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.