عنوان

Energy optimization and prediction in office buildings :

(Number (ISBN

331990146X

(Number (ISBN

9783319901466

Erroneous ISBN

3319901451

Erroneous ISBN

9783319901459

Title Proper

Energy optimization and prediction in office buildings :

General Material Designation

[Book]

Other Title Information

a case study of office building design in Chile /

First Statement of Responsibility

Carlos Rubio-Bellido, Alexis Pérez-Fargallo, Jesús Pulido-Arcas.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2018.

Specific Material Designation and Extent of Item

1 online resource

Series Title

SpringerBriefs in energy,

ISSN of Series

2191-5520

Text of Note

Includes bibliographical references.

Text of Note

Intro; Contents; Symbols and Abbreviations; 1 Introduction; 1.1 Energy in Buildings; 1.2 Office Sector in Chile; 1.3 Legal Framework and Energy Services; References; 2 Research Method; 2.1 Introduction; 2.2 Calculation Procedure; 2.2.1 Internal and External Loads; 2.2.2 Heat Balance; 2.2.3 Heat Gains; 2.2.4 Energy Demand; 2.2.5 Energy Consumption and CO2 Emissions; 2.3 Test Models; 2.3.1 Location; 2.3.2 Geometry; 2.3.3 Constructive Systems; 2.4 Climate Context; 2.4.1 Current Climate Zones; 2.4.2 Climate Change Simulation; 2.5 Optimization and Prediction Methods; 2.5.1 Minimal Energy Demand.

Text of Note

2.5.2 Multiple Linear Regressions2.5.3 Multilayer Perceptron; References; 3 Energy Demand Analysis; 3.1 Introduction; 3.2 Climate Variation; 3.3 Effects on Annual Energy Demand; 3.3.1 WWR and FR Influence; 3.3.2 Annual Energy Demand for Different Climate Scenarios; 3.3.3 Heating and Cooling Energy Demand for Different Climate Scenarios; 3.4 Effects on Design Strategies; 3.4.1 Evolution on Annual Energy Demand; 3.4.2 Evolution on WWR and FR; 3.5 Discussions; 4 Multiple Linear Regressions; 4.1 Introduction; 4.2 Energy Consumption; 4.3 CO2 Emissions; 4.4 Regression Models Validation.

Text of Note

4.5 Discussions5 Artificial Neural Networks; 5.1 Introduction; 5.2 Data Description; 5.3 Data Pre-processing; 5.4 Comparison with Linear Regressions; 5.5 Discussions.

0

8

8

Text of Note

This book explains how energy demand and energy consumption in new buildings can be predicted and how these aspects and the resulting CO2 emissions can be reduced. It is based upon the authors' extensive research into the design and energy optimization of office buildings in Chile. The authors first introduce a calculation procedure that can be used for the optimization of energy parameters in office buildings, and to predict how a changing climate may affect energy demand. The prediction of energy demand, consumption and CO2 emissions is demonstrated by solving simple equations using the example of Chilean buildings, and the findings are subsequently applied to buildings around the globe. An optimization process based on Artificial Neural Networks is discussed in detail, which predicts heating and cooling energy demands, energy consumption and CO2 emissions. Taken together, these processes will show readers how to reduce energy demand, consumption and CO2 emissions associated with office buildings in the future. Readers will gain an advanced understanding of energy use in buildings and how it can be reduced.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783319901466

Title

Energy optimization and prediction in office buildings.

International Standard Book Number

9783319901459

Office buildings-- Chile.

Office buildings-- Energy conservation-- Chile.

ARCHITECTURE-- Buildings-- Public, Commercial & Industrial.

Building construction & materials.

Energy technology & engineering.

Environmentally-friendly architecture & design.

Mathematical modelling.

Office buildings-- Energy conservation.

Office buildings.

Optimization.

Chile.

7

ARC-- 011000

Number

Edition

Class number

Rubio-Bellido, Carlos

Pérez-Fargallo, Alexis

Pulido-Arcas, Jesús

Date of Transaction

20200823115248.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y