Author: Admin
What is Energy Conservation Building Code (ECBC)
The Energy Conservation Building Code (ECBC) set minimum energy performance standards for commercial buildings. Under section 14 (p) of the Energy Conservation Act, 2001, Central Government has powers to prescribe ECBC for non-residential buildings, having connected load of 100 KW and above or a contract demand of 120 KVA and above or recommended built-up area of 1000 sqm and above. or building complex for efficient use of energy and its conservation. The state governments have the flexibility to modify ECBC to suit local or regional needs. Energy performance standards for the following building systems will be included in the ECBC:
- Building Envelope
- Heating Ventilation and Air Conditioning
- Lighting
- Service Water Heating
- Electric Power and Distribution
The salient features of the ECBC for the Composite Climate Zone are as under:
1. Building Envelope:
| Heat/Moisture Losses | Walls | Roof | Window |
|---|---|---|---|
| Minimize Conduction Losses | Use insulation with low U-value | Use insulation with low U-value | Use material with low U-factor |
| Minimize Convection Losses & Moisture Penetration | Reduce air leakage & use vapor barrier | Reduce air leakage & use vapor Barrier | Use prefabricated windows and seal the joints between windows and walls. |
| Climate Zone | Hospitals, Hotels, Call Centres, (24-hours) | Other Building types (Daytime) | ||
|---|---|---|---|---|
| Maximum U-factor of the overall assembly (W/sq.m-0 C) | Minimum R-value of insulation alone (W/sq.m-0 C) | Maximum U-factor of the overall assembly (W/sq.m-0 C) | Minimum R-value of insulation alone (W/sq.m-0 C) | |
| Composite | U-0.261 | R-3.5 | U-0.409 | R-2.1 |
| Climate Zone | Hospitals, Hotels, Call Centres, (24-hours) | Other Building types (Daytime) | ||
|---|---|---|---|---|
| Maximum U-factor of the overall assembly (W/sq.m-0 C) | Minimum R-value of insulation alone (W/sq.m-0 C) | Maximum U-factor of the overall assembly (W/sq.m-0 C) | Minimum R-value of insulation alone (W/sq.m-0 C) | |
| Composite | U-0.440 | R-2.10 | U-0.440 | R-2.10 |
| Climate | Maximum U-factor | Maximum SHGC WWR < 40% | Maximum SHGC 40% < WWR <60% |
|---|---|---|---|
| Composite | 3.3 | ||
| Composite | 3.3 | ||
| Minimum Visible Light Transmittance | |||
| Window –Wall-Ratio | |||
| <30% | |||
| 31%-40% | |||
| 41%-50% | |||
| 51%-60% |
| Clear Glass | Tinted Glass | ||||||
|---|---|---|---|---|---|---|---|
| Frame Type | Glazing Type | U- Factor(W/m2-0C) | SHGC | VLT | U-Factor | SHGC | VLT |
| All frame types | Single Glazing | 7.1 | 0.82 | 0.76 | 7.1 | 0.70 | 0.58 |
| Wood, vinyl, of fiberglass frame | Double Glazing | 3.3 | 0.59 | 0.64 | 3.4 | 0.42 | 0.39 |
| Metel and other frame type | Double Glazing | 5.1 | 0.68 | 0.66 | 5.1 | 0.50 | 0.40 |
| Daytime Occupancy | 24- Hour Occupancy | |||
|---|---|---|---|---|
| U – Factor | SHGC | U – Factor | SHGC | |
| Mass Walls | 6.01 | – | 13.85 | – |
| Curtain Walls, Other | 15.72 | – | 20.48 | – |
| Roofs | 11.93 | – | 24.67 | – |
| North Windows | -1.75 | 40.65 | -4.56 | 58.15 |
| Non-North Windows | -1.25 | 54.51 | 0.68 | 86.57 |
| Skylights | -96.35 | 311.71 | -294.66 | 918.77 |
| Thermal Requirements | Physical Manifestation |
|---|---|
| Reduce Heat Gain in Summer and Reduce Heat Loss in Winter | |
| Decrease exposed surface area | Orientation and shape of building. Use of trees as wind barriers |
| Increase thermal resistance | Roof insulation and wall insulation |
| Increase thermal capacity (Time lag) | Thicker walls |
| Increase buffer spaces | Air locks/Balconies |
| Decrease air exchange rate | Weather stripping |
| Increase shading | Walls, glass surfaces protected by overhangs, fins and trees |
| Increase surface reflectivity | Pale color, glazed china mosaic tiles, etc. |
| Reduce solar heat gain | Use glazing with lower SHGC and provide shading for windows. Minimize glazing in East and West |
| Promote Heat Loss in Summer/Monsoon | |
| Increase air exchange rate ( Ventilation) | Courtyards/wind towers/ arrangement of openings |
| Increase humidity levels in dry summer | Trees and water ponds for evaporative cooling |
| Decrease humidity in monsoon | Dehumidifiers/ desiccant cooling |
Source:- Nayak and Prajapati (2206), Handbook on Energy Conscious Buildings.
2. Heating, Ventilation and Air Conditioning (HVAC):
| Equipment Class | Minimum COP | Minimum IPLV | Test Standard |
|---|---|---|---|
| Air Cooled Chiller <530KW (<150 tons) | 2.90 | 3.16 | ARI 550/590-1998 |
| Air Cooled Chiller>=530KW(>=150 tons) | 3.05 | 3.32 | ARI 550/590-1998 |
| Centrifugal Water Cooled Chiller <530KW(<150 tons) | 5.80 | 6.09 | ARI 550/590-1998 |
| Centrifugal Water Cooled Chiller >=530KW and =150 tons and <300 tons) | 5.80 | 6.17 | |
| Centrifugal Water Cooled Chiller >=1050KW(>=300 tons) | 6.30 | 6.61 | ARI 550/590-1998 |
| Reciprocating Compressor, Water Cooled Chiller all sizes | 4.20 | 5.05 | |
| Rotary Screw and Scroll Compressor, Water Cooled Chiller <530KW(<150 tons) | 4.70 | 5.49 | ARI550/590-1998 |
| Rotary Screw and Scroll Compressor, Water Cooled Chiller>=530 and =150 and <300 tons) | 5.40 | 6.17 | |
| R Rotary Screw and Scroll Compressor, Water Cooled Chiller>=1050KW(>=300 tons) | 5.75 | 6.43 | ARI 550/590-1998 |
ii) Unitary Air
| Equipment Class | Minimum COP | Minimum IPLV | Test Standard |
|---|---|---|---|
| Unitary Air Cooled Air Conditioner >=19 and =5.4 and <11 tons) | 3.08 | ARI 210/240 | |
| Unitary Air Cooled Air Conditioner >=40 to =11 to <20 tons) | 3.08 | ARI 340/360 | |
| Unitary Air Cooled Air Conditioner >=70KW(>=20 tons) | 2.93 | 2.99 | ARI 340/360 |
| Unitary Water Cooled Air Conditioner<19KW(<5.4 tons) | 4.10 | ARI 210/240 | |
| Unitary Water Cooled Air Conditioner>=19 and =5.4 and <11 tons) | 4.10 | +++ | ARI 210/240 |
| Unitary Water Cooled Air Conditioner>==11 tons) | 3.22 | 3.02 | ARI 210/240 |
3. Lighting:
| Building Area Type | LPD (W/sq.m) | Building Area Type | LPD (W/sq.m) |
|---|---|---|---|
| Automotive facility | 9.7 | Multifamily | 7.5 |
| Convention Center | 12.9 | Museum | 11.8 |
| Court House | 12.9 | Office | 10.8 |
| Dining: Bar Lounge/Leisure | 14.0 | Parking Garage | 3.2 |
| Dinging: Cafeteria/Fast Food | 15.1 | Performing Arts Theater | 17.2 |
| Space Function | LPD (W/sq.m) | Space Function | LPD (W/sq.m) |
|---|---|---|---|
| Lobby | 14.0 | Hospital | |
| For Hotel | 11.8 | Emergency | 29.1 |
| For Performing Arts Theater | 35.5 | Recovery | 8.6 |
| For Motion Picture Theater | 11.8 | Nurse Station | 10.8 |
| Exterior Lighting Applications | Power Limits |
|---|---|
| Building entrance (with canopy) | 13 W/m2 (1.3 W / ft2) of canopied are |
| Building entrance (without canopy) | 90 W/lin m (30 W/lin f) of door width |
| Building exit | 60 W/lin m (20 W/lin f) of door width |
| Building facades | 2 W/m2 (0.2 W/ ft2) of vertical facade area |
| Space Function LPD (W/m2) | Space Function LPD (W/m2) | ||
|---|---|---|---|
| Office-enclosed | 11.8 | For Reading Area | 12.9 |
| Office- open plan | 11.8 | Hospital | |
| Conference/Meeting/Multipurpose | 14.0 | For Emergency | 29.1 |
| Classroom/Lecture Training | 15.1 | For Recovery | 8.6 |
| Lobby | 14.0 | For Nurse Station | 10.8 |
| For Hotel | 11.8 | For Exam Treatment | 16.1 |
| For Performing Arts Theater | 35.5 | For Pharmacy | 12.9 |
| For Motion Picture Theater | 11.8 | For patient Room | 7.5 |
| Audience/Seating Area* | 9.7 | For Operating Room | 23.7 |
| For Gymnasium | 4.3 | For Nursery | 6.5 |
| For Convention Center | 7.5 | For Medical | 23.7 |
| Audience/Seating Area* | 9.7 | For Operating Room | 15.1 |
| Atrium –first three floors | 6.5 | For Low Bay (<8m celling) | 12.9 |
| Atrium-each additional floor | 2.2 | For High Bay (>8m ceiling) | 18.3 |
| Lounge/Recreation* | 12.9 | For Detailed Manufacturing | 22.6 |
| For Hospital | 8.6 | For Equipment Room | 12.9 |
| Dining Area* | 9.7 | For Control Room | 5.4 |
| For Hotel | 14.0 | Hotel/Motel Guest Rooms | 11.8 |
| For Motel | 12.9 | Dormitory- Living Quarters | 11.8 |
| For Bar Lounge/Leisure Dining | 15.1 | Museum | |
| For Family Dining | 22.6 | For General Exhibition | 10.8 |
| Food Preparation | 12.9 | For Restoration | 18.3 |
| Laboratory | 15.1 | Bank office- Banking Activity Area | 16.1 |
| Restrooms | 9.7 | Retail | |
| Dressing/Locker/Fitting Room | 6.5 | For Sales Area | 18.3 |
| Corridor/Transition* | 5.4 | For Mall Concourse | 18.3 |
| For Hospital | 10.8 | Sports Arena | |
| For Manufacturing Facility | 5.4 | For Ring Sports Area | 29.1 |
| Stairs-active | 6.5 | For Court Sports Area | 24.8 |
| Active Storage* | 8.6 | For Indoor Field Area | 15.1 |
| For Hospital | 9.7 | Warehouse | |
| Inactive Storage* | 3.2 | For Fine Material Storage | 15.1 |
| For Museum | 8.6 | For Medium /Bulky Material Storage | 9.7 |
| Electrical /Mechanical Facility | 16.1 | Parking Garage- Garage Area | 2.2 |
| Workshop | 20.5 | Transportation | |
| Convention Center- Exhibit Space | 14.0 | For Airport- Concourse | 6.5 |
| Library | For Air/Train/Bus- Baggage Area | 10.8 | |
| For Card File & Cataloging | 11.8 | For Ticket Counter Terminal | 16.1 |
| For Stacks | 18.3 |
4. Service Water Heating:
Mandatory Requirements
a) Solar water heater or heat recovery for at least 20% of the design capacity
Minimum efficiency for service water heating equipment
Piping insulation
What is Green Building
What is Green Building
Green building refers to both a structure and the application of processes that are environmentally responsible and resource-efficient throughout a building’s life-cycle: from planning to design, construction, operation, maintenance, renovation, and demolition.
What is Green Building
What is Green Building
What is Solar Architecture
What is Solar Architecture
What is Solar Achitecture

The effectiveness of solar architecture is largely determined by the creativity of the architect and the flexibility of the client. A clever architect will be able to incorporate solar panels into the design of a building without making them look bulky and awkward. The more a client is willing to be flexible with the amount of solar energy generated, the more subtly the panels can be incorporated into the design.
An energy-systems plan (including a radiant-floor heating system, insulation, seasonal shade structures, a ground-source heat pump, and design-integrated solar) for the Fox House in Pavilion, WY. Courtesy of UW-BERG.
A 3D model of the Fox House in Pavillion, WY. Courtesy of UW-BERG.What is Climate Responsive Architecture
What is Climate Responsive Architecture
The climate responsive design refers to the architecture that reflects the particular region-specific weather conditions of the peculiar area. It uses data of weather patterns and factors like sun, wind, rainfall, and humidity. The building structure is built according to the same.
In a given region, Climate is the predominant weather. Just as flora and fauna adapt to their surroundings and create sustaining ecosystems, architects should design buildings that respond to the climate and are living rather than consuming. Climate change is one of the greatest challenges faced by human society in the 21st century. To tackle climate change, carbon dioxide emissions can be reduced by changing the way buildings are designed, constructed, managed, and used. The climate-responsive architecture aims to design the optimized building according to specific characteristics of that particular site, to minimize extreme energy use and have a reduced impact on the natural environment.

Climate-responsive architecture functions in lockstep with the local climate(temperature, historical weather patterns, etc.), the direction of the sun (sun path and solar position), site-specific environmental conditions (such as wind, rainfall, humidity), seasonality and also taking into account the natural shade provided by the surrounding area and topography to design pleasant buildings which ensure physiological comfort of users, energy-efficient buildings with reduced reliance on artificial energy.
With an approach from a genuinely sustainable perspective to create buildings that respond directly to their unique place, the process begins with climate data rather than architectural sketches. By addressing the questions such as “Determining the sun’s position in the sky at a given time and season?”, “How much rain falls on the site each season?” and “What effect will the wind have on the building keeping in mind the occupant’s comfort?” The building should be adaptive to changing environmental conditions to meet its functional requirement and to provide comfort. Some steps to achieve climate responsive design involve:
Site analysis
To understand the specific site, it’s important to understand the ramifications of the building through site analysis. The Layout of the Building is designed through an integrative design process to achieve the most optimal location for the building.
Sun direction
The building should be placed considering the cardinal directions. The goal is to maximize the amount of sun that heats space in the winter as well as decreasing the amount of sun in the summer to reduce the less reliance on mechanical energy for cooling and heating.
Window Considerations
Buildings with façades facing the south should use a window area appropriate to their orientation, and glazing should use a double or triple-panelled Low-E-coated glass. In the hottest months, it minimizes the amount of heat transmitted into space while keeping heat inside during the cooler winter months.
Minimize the Building Footprint
To minimize building footprint, architects should design the buildings to be multi-functional. The building will have fewer excavation costs and more wall areas that can benefit from the sun’s warming effects along with an increase in natural daylighting.
Design for Natural Ventilation
A building can be cooled by designing for stack ventilation to draw cooler air from low building openings to protect from warm air rises while carrying heat away through openings at the top of the space. The rate at which the air moves is a function of the vertical distance between the inlets and outlets, their size, and the temperature difference over the room height.
Relax the Occupants Comfort Standards
With climate responsive design, the amount of energy used to cool and heat the building is reduced by dependence on using natural systems, the sun, and the wind. This is possible only if the occupants are open to adding or removing clothing layers according to the seasons, increasing the amount of energy saved.
Building for Geographic Area
When designing the envelope of the building, factors such as insulation, vapor barriers, and air barriers will vary radically depending on whether the project is in the cold, snowy north, the hot and humid south or the arid desert.
Modelling and Analysis
Architects and designers can utilize tools such as lighting models, energy modeling, computational fluid dynamics, daylighting studies, to understand how the design best integrates with the local climate and micro-climate specific to the site.
Find Energy-Efficient Appliances and Systems
Developing climate-responsive homes involves minimizing environmental degradation. Installing sustainable systems and appliances in a building can reduce atmospheric and surface-level pollution. Smart devices may significantly increase the energy efficiency of a house, reducing its ecological effects.
Smart thermostats connect to a building’s HVAC system. They access local weather readings through a Wi-Fi connection, adjusting indoor temperatures for efficiency. They also use motion detection sensors, turning systems off in vacant homes.
Smart lights have similar functions, decreasing artificial light energy usage. Designers can connect a structure’s autonomous systems to renewable energy sources, further decreasing ecological impacts.
Consult an Energy Professional
Sustainable architects can additionally improve the energy efficiency and low impact of construction projects by consulting a power professional. During an energy consultation, certified workers evaluate a whole property, determining its electricity usage. The power professional interprets their findings, helping builders understand how to improve the sustainability of a home.
They evaluate the building’s design, environment, and residential habits when determining its efficiency. When using the feedback, construction professionals can significantly minimize ecological degradation on-site.
Perform Multiple Iterations
If at first, you don’t succeed, try again! It will take the design team multiple passes of just these basic layouts in your pre-design or schematic design phase to hone in the lowest energy use possible, optimized for your specific site. However, it’s better to spend more time in the early phases of design to model the project, which is far less costly than making changes in the field or later on in the design process. Keep at the trials, and eventually, your building will be responding directly to the climate specific to the project site.
Multiple Iterations
The design practice of Climate-Responsive architecture involves more time in the early phases of design to model the project along with multiple iterations in the design process.
What is Vulnerability Analysis for Environment


What is Land Suitability Analysis
and suitability assessment is a method of land evaluation, which identifies the major limiting factors for planting a particular crop. Land suitability assessment includes qualitative and quantitative evaluation. In the qualitative land suitability evaluations, information about climate, hydrology, topography, vegetation, and soil properties is considered and in quantitative assessment, the results are more detailed and yield is estimated. At present study we prepared land suitability assessment map for rain-fed wheat and barley crops based on FAO “land suitability assessment framework” using parametric method and machine learning algorithms in Kurdistan Province, located in west of Iran. This is a unique study that compared two machine learning-based and traditional-based approaches for mapping current and potential future land suitability classes. Moreover, potential yield of rain-fed wheat and barley crop were computed by FAO model.
1. Introduction
Rapid population growth in developing countries means that more food will be required to meet the demands of growing populations. Rain-fed wheat and barley, as major grain crops worldwide, are planted under a wide range of environments and are a major staple source of food for humans and livestock [1][2][3][4]. The production of such staple crops influences local food security [5]. Rain-fed wheat and barley are cultivated on approximately 6 and 0.64 million ha in Iran, respectively [6]. They are well adapted to the rain conditions of western Iran, where mean precipitation is 350–500 mm. The production of rain-fed wheat and barley per unit area in Iran is low compared to developed countries worldwide [2]. One of the main causes for this low yield is that the suitability of land for their cultivation has not been determined. To overcome this problem, land suitability assessment is needed, which can help to increase crop yield by growing these crops in the locations that are most suited to their growth [7].
The first step in agricultural land use planning is land suitability assessment which is often conducted to determine which type of land use is suitable for a particular location [8]. Land suitability assessment is a method of land evaluation, which identifies the major limiting factors for planting a particular crop [9][10]. Land suitability assessment includes qualitative and quantitative evaluation. In the qualitative land suitability evaluations, information about climate, hydrology, topography, vegetation, and soil properties is considered [11] and in quantitative assessment, the results are more detailed and yield is estimated [12]. The FAO land evaluation framework [13][14] and physical land evaluation methods [15] have been widely used for land suitability assessment.
Land suitability maps provide the necessary information for agricultural planners and are vital for decreasing land degradation and for assessing sustainable land use. There is a lack of land suitability mapping and associated information in Iran because land suitability surveying and mapping in Iran have followed the traditional approach [16][17][18][19][20]. In the traditional approach, abbreviation of the soil variability through a soil map unit to a representative soil profile may cause the precision of the land suitability maps to be lacking and ignores the continuous nature of soil and landscape variation, resulting in the misclassification of sites and discrete and sharply defined boundaries [21][22]. Moreover, the traditional approach is time-consuming and costly [23].
Machine learning (ML) models are capable of learning from large datasets and integrate different types of data easily [24][25]. In digital soil mapping framework, these ML models have been applied to make links between soil observations and auxiliary variables to understand spatial and temporal variation in soil classes and other soil properties [24][26][27][28]. These ML models include artificial neural networks, partial least squares regressions, support vector machines, generalized additive models, genetic programming, regression tree models, k nearest neighbor regression, adaptive neuro-fuzzy inference system, and random forests [26][27][28]. It should be noted that random forests and support vector machines have been the most commonly used techniques in the digital soil mapping community in the last decade due to their relatively good accuracy, robustness, and ease of use. The auxiliary variables can be obtained from digital elevation models(DEM), remotely sensed data (RS), and other geo-spatial data sources [24][29][30][31][32][33][34][35].
2. Discussion
Although in recent years, ML models have been widely used to create digital soil maps [24], little attempt has been made for using ML models to digitally map land suitability classes [36][37]. For instance, Dang et al. [38] applied a hybrid neural-fuzzy model to map land suitability classes and predict rice yields in the Sapa district in northern Vietnam. Auxiliary variables included eight environmental variables (including elevation, slope, soil erosion, sediment retention, length of flow, ratio of evapotranspiration to precipitation, water yield, and wetness index), three socioeconomic variables, and land cover. Harms et al. [39] assessed land suitability for irrigated crops for 155,000 km2 of northern Australia using digital mapping approaches and machine learning models. They concluded that the coupling of digitally derived soil and land attributes with a conventional land suitability framework facilitates the rapid evaluation of regional-scale agricultural potential in a remote area.
Although Kurdistan province is one of the main agriculturally productive regions of Iran and holds an important role in the country’s crop production rank, the mean yield of rain-fed wheat and barley in these regions is lower than 800 kg ha−1 [40]. Land suitability maps can classify the areas that are highly suitable for the cultivation of the two main crops and can help to increase their production. However, such information is commonly scarce in these semi-arid regions.
References
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