Energy balance in Suzhou

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Question

What are the amounts of energy produced, consumed, imported, and exported in Suzhou?

Rationale

There are several energy transformations that each describe a specific process of energy production or use. Per unit activity, there is a constant amount of different inputs and outputs into and from this process, respectively. These unit processes are used for Suzhou in such a way that one critical input or output from each relevant energy transformation is listed here; all other inputs and outputs logically follow from the nature of the transformation process.

Data

Equations(GWh /a?)

Obs	Equation	Dummy	Description
1	TP raw coal + TP natural gas + TP oil products + TP coal products + TP other energy + TP heat = TP electricity + TP loss	1	In energy balance, inputs and outputs cancel out. Balance Thermal Power Plants
2	TP natural gas + TP oil products + TP coal products + TP other energy + TP heat = 0.12158311*TP raw coal	-1	(670,9+21,4+1145,5+198,0+54,7)/17194,0 Others divided by raw coal. Fraction TP raw coal. Sum of other fuels is used as comparison for raw coal
3	TP raw coal + TP oil products + TP coal products + TP other energy + TP heat = 27.74422418*TP natural gas	-1	(17194,0+21,4+1145,5+198,0+54,7)/670,9 Others divided by natural gas. Fraction TP natural gas. Sum of other fuels is used as comparison for natural gas
4	TP raw coal + TP natural gas + TP coal products + TP other energy + TP heat = 900.1448598*TP oil products	-1	(17194,0+670,9+1145,5+198,0+54,7)/21,4 Others divided by oil productsFraction TP oil products. Sum of other fuels is used as comparison for oil products
5	TP raw coal + TP natural gas + TP oil products + TP other energy + TP heat = 15.83500655*TP coal products	-1	(17194,0+670,9+21,4+198,0+54,7)/1145,5 Others divided by coal products. Fraction TP coal products. Sum of other fuels is used as comparison for coal products
6	TP raw coal + TP natural gas + TP oil products + TP coal products + TP heat = 96.39646465*TP other energy	-1	(17194,0+670,9+21,4+1145,5+54,7)/198,0 Others divided by other energy. Fraction TP other energy. Sum of other fuels is used as comparison for other energy
7	TP electricity = 0.630948656*TP loss	-1	7460,4/11824,1 electricity per loss. Fraction TP loss. Amount of electricity is used as comparison for loss
8	H raw coal + H natural gas + H oil products + H coal products + H other energy = H heat + H loss	-1	Balance Heating Supply. In energy balance, inputs and outputs cancle out
9	H natural gas + H oil products + H coal products + H other energy = 0.158111641*H raw coal	-1	(88,0+38,6+360,3+27,2)/3251,5 Others divided by raw coal. Fraction H raw coal. Sum of other fuels is used as comparison for raw coal
10	H raw coal + H oil products + H coal products + H other energy = 41.79090909*H natural gas	-1	(3251,5+38,6+360,3+27,2)/88,0 Others divided by natural gas. Fraction H natural gas. Sum of other fuels is used as comparison for natural gas
11	H raw coal + H natural gas + H coal products + H other energy = 96.55440415*H oil products	-1	(3251,5+88,0+360,3+27,2)/38,6 Others divided by oil products. Sum of other fuels is used as comparison for oil products. Fraction H oil products
12	H raw coal + H natural gas + H oil products + H other energy = 9.451290591*H coal products	-1	(3251,5+88,0+38,6+27,2)/360,3 Others divided by coal products. Fraction H coal products. Sum of other fuels is used as comparison for coal products
13	H heat = 4.451715651*H loss	-1	3074,8/690,7 heat per loss. Fraction H loss. Amount of heat is used as comparison for loss
14	CP raw coal + CP natural gas + CP oil products = CP coal products + CP loss	1	Balance Coal Processing. In energy balance, inputs and outputs cancel out
15	CP natural gas + CP oil products = 0.004725972*CP raw coal	-1	(0,007+0,0172)/5,12064 Others divided by raw coal. Fraction CP raw coal. Sum of other fuels is used as comparison for raw coal
16	CP oil products = 24.57142857*CP natural gas	1	0,01720/0,0007 oil products divided by natural gas. Fraction CP natural gas. Amount of oil products is used as comparison for natural gas
17	CP coal products = 6.341763109*CP loss	1	4,4386/0,6999 coal products per loss. Fraction CP loss. Amount of coal products is used as comparison for loss
18	Loss heat = 0.029823078*H heat	1	91,7/3074,8. Transmission loss heat. Known loss divided by production
19	Loss oil products = 0.953271028*TP oil products	1	20,4/21,4. Transmission loss oil products. Known loss divided by oil products used in TP
20	Loss electricity = 0.085276929*TP electricity	1	636,2/7460,4. Transmission loss electricity. Known loss divided by production
21	Loss natural gas = 0.3625*H natural gas	1	31,9/88,0. Transmission loss natural gas. Known loss divided by natural gas used in H
22	Bought electricity + TP electricity = Loss electricity + Cons Agri electricity + Cons Ind electricity + Cons Transportation electricity + Cons Commerce electricity + Cons Households electricity	1	Electricity use balance. In energy balance, inputs and outputs cancel out
23	H heat = Loss heat + Cons Ind heat + Cons Commerce heat	1	Heat use balance. In energy balance, inputs and outputs cancel out
24	Cons Agri electricity = 25.8468532	1	Consumed electricity agriculture
25	Cons Ind electricity = 7032.044935	1	Consumed electricity industry
26	Cons Transportation electricity = 49.8664292	1	Consumed electricity transportation
27	Cons Commerce electricity = 684.7050273	1	Consumed electricity commerce
28	Cons Households electricity = 625.3804599	1	Consumed electricity households
29	Cons Ind heat = 2981.313692	1	Consumed heat industry
30	Cons Commerce heat = 1.732034769	1	Consumed heat commerce
31	TP electricity = 7460.4	1	Electricity produced by thermal power. Assumes that there is no capacity to increase production.
32	CP coal products = 4.4386	1	Coal products produced

Nonlinearity parameters(GWh /a)

Obs	critVar	critIndex	rescol	critLocLow	critLocHigh	critValue
1

Dependencies

• Energy balance

Calculations

+ Show code- Hide code library(OpasnetUtils) library(ggplot2) N <- 10 objects.latest("Op_en5141", code_name = "initiate") balance <- Ovariable("balance", ddata = "Op_en5816.equations") balance@data$Equation <- as.character(levels(balance@data$Equation)[balance@data$Equation]) # Change factor into character. nonlinearity <- Ovariable("nonlinearity", ddata = "Op_en5816", subset = "Nonlinearity parameters") energy.balance <- EvalOutput(energy.balance) energy.balance@marginal[colnames(energy.balance@output) == "energy.balanceVar"] <- TRUE # This has to be done manually because CheckMarginals does not notice this as a marginal. energy.balance@marginal[colnames(energy.balance@output) %in% nonlinearity@output$critIndex] <- FALSE # Nonlinear indices are demarginalised because only one of the two equations apply. oprint(summary(energy.balance)) ggplot(energy.balance@output, aes_string(x = "energy.balanceVar", y = "energy.balanceResult")) + geom_boxplot() + theme_grey(base_size = 24) + theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust= 0.2)) # objects.store(energy.balance)

• See Energy balance.

Old code

⇤--#: . There are 32 columns (unknown variables) but only 31 rows (equations). --Jouni 18:18, 25 September 2012 (EEST) (type: truth; paradigms: science: attack)

Consumption of electricity by agriculture: Consumption of electricity by industry: Consumption of electricity by transportation: Consumption of electricity by commerce: Consumption of electricity by households: Consumption of district heat by industry: Consumption of district heat by commerce: + Show code- Hide code library(OpasnetUtils) library(xtable) # These three are city-specific: Matrix_page, Additions, Solutions. Matrix_page <- "Op_en5816" # This is the page with the matrix content. Additions <- data.frame() # These are additional contents to the matrix if any, in addition to Matrix_page. Solutions <- c(rep(0, 25), # These are the solutions (right sides) of the equations. The size must match the matrix. Cons_Agri_electricity, Cons_Ind_electricity, Cons_Transportation_electricity, Cons_Commerce_electricity, Cons_Home_electricity, Cons_Ind_heat, Cons_Commerce_heat ) Fetch2(data.frame(Name = "energy.balance", Key = "qffJP3u5RpFw1GuL")) energy.balance <- EvalOutput(energy.balance, intermediates = TRUE) print(xtable(energy.balance@output), type = 'html') objects.put(energy.balance, Matrix_page, Additions, Solutions) cat("Object energy.balance (Suzhou) saved with output. Also objects Matrix_page, Additions and Solutions saved. Write down the key of the model run page for further use.\n")

• Model run 18 Aug 2013
• Previous model version
  • Model run from a previous version (there is a problem with data).

See also

• About large systems of non-linear equations: BB package in R

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