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Super Insu­lat­ing Win­dows For San Anto­nio Homes

Under­stand­ing the whole Con­cepts behind super insu­lat­ing windows

Super insu­lat­ing win­dows are such that help to reduce energy bills basi­cally in two (2) ways. Firstly, they could reduce cool­ing and heat­ing by grad­u­ally reduc­ing the rate of con­ducted heat through the win­dow and also the amount of leaked heat around the win­dows tagged “air infiltration”.

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The fac­tors or prop­er­ties that define the abil­ity of win­dows to block or slow down the rate at which heat flows through them are; the inverse met­ric or U-factor, and R-value. The R-value defines the Ther­mal Resis­tance of insu­la­tion mate­ri­als. It is usu­ally used to depict the ther­mal resis­tance of all insu­la­tion mate­ri­als like foam and fiber­glass. The fact about R-value is that,  the level of the R-value is directly pro­por­tional to the effi­ciency of the win­dow at keep­ing the heat out in the sum­mer period and keep­ing the heat in dur­ing win­ter period. For exam­ple, the R-value for a dual pane win­dow that has a low-e coat­ing was approx­i­mately given as R-3. Also, the R-value of an energy-efficient win­dow with a high-performance was approx­i­mately given to be between R-4.8 and R-11.

The abil­ity of win­dows to hold on to heat by reduc­ing the leak­age of air through gaps in and around the win­dows is said to be its Air Infil­tra­tion. It is nor­mally mea­sured in cubic feet of per minute air (cfm/ft²). The air infil­tra­tion is directly pro­por­tional to the amount of the leaked air. This means that in the real sense, the lower air infil­tra­tion becomes, the lesser the amount of leaked air (out or in). The approx­i­mate air infil­tra­tion value for ordi­nary replace­ment win­dows is 0.3 cfm/ft2. Mean­while, high per­for­mance win­dows have an approx­i­mate air infil­tra­tion value that is 0.01 cfm/ft2 thereby, allow­ing approx­i­mately ninety five per­cent (95%) less air which passes around the win­dow and through window.

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Mod­el­ing the Difference

An engi­neer­ing team tried to quan­tify the energy sav­ings (incre­men­tal) that is being real­ized by low­er­ing the win­dows air infil­tra­tion and the improve­ment of R-value at a top pro­ducer of win­dows that are energy effi­cient. All these were done so as to model the rate of gas (nat­ural) con­sump­tion for the heat­ing of multi-family res­i­den­tial build­ings. The first devel­op­ment mod­eled an aver­age, low R-value, exist­ing res­i­den­tial houses with single-pane, and win­dows that have  high air infil­tra­tion . In the sec­ond devel­op­ment, the model rep­re­sents that same build­ing but it was with high resis­tance (R-value) win­dows that still has high air infil­tra­tion. Lastly, the third devel­op­ment mod­eled the build­ing that has low infil­tra­tion win­dows and also has high R-value. Each of these devel­op­ments was typ­i­cally mod­eled in three (3) dis­sim­i­lar heat­ing dom­i­nated climates.

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Those results of the mod­eled instances show that each of the devel­op­ments, upgrad­ing from low resis­tance value (R-value) to high resis­tance value (R-value) saved twenty six per­cent (26%) on the con­sump­tion of nat­ural gas. The sav­ings fur­ther increased between thirty six per­cent (36%) and thirty eight per­cent (38%) with the extra improve­ment of air infil­tra­tion (low) when likened to the base­line devel­op­ment. There­fore this results in the enhance­ment in the per­for­mance of air infil­tra­tion that gen­er­ated an addi­tional 10% to12% sav­ings on the top of the sav­ing that is being gen­er­ated by the improve­ment by the value of the win­dow insulation.

San Anto­nio house

In sum­mary, the energy effi­cient win­dows could reduce your heat or energy bills in some com­pli­men­tary ways. Firstly, it could be by sim­ply reduc­ing air infil­tra­tion, and sec­ondly, it could be by improv­ing insu­la­tion. Increas­ing the resis­tance value (R-value or R-factor) of win­dows in one exist­ing multi-family house could reduce power or energy con­sump­tion by twenty six per­cent (26%) in a heating-dominated cli­mate, which is based on the con­structed mod­els for the pur­pose of sim­u­lat­ing this effect.

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